The Bitcoin halving, a four-year event, reduces the reward for miners, impacting crypto trading, profitability, market dynamics, and price volatility. It can create positive sentiment, attract institutional investors, and benefit various participants in the cryptocurrency ecosystem.

The Bitcoin halving is a significant event that can influence the cryptocurrency market in various ways, impacting supply and demand dynamics, miner profitability, market speculation, and long-term price trends. Traders and investors closely monitor the halving event and its potential impact on the market to make informed decisions and navigate the evolving landscape of the cryptocurrency market.

What is the Bitcoin Halving

The Bitcoin halving is a pre-programmed event that occurs approximately every four years and involves cutting the reward miners receive in half. This event controls the supply of new Bitcoins entering the market and is a crucial feature of Bitcoin's monetary policy.

The Bitcoin halving is an event programmed into the Bitcoin protocol where the rewards for mining new blocks are reduced by approximately half every four years. This event is built into the Bitcoin code to control the issuance of new Bitcoins and maintain the cryptocurrency's scarcity over time.

Initially, when Bitcoin was created in 2009, miners were rewarded with 50 Bitcoins for every block they mined. In 2012, the first halving occurred, reducing the block reward to 25 Bitcoins. Subsequent halvings occurred in 2016 and 2020, reducing the reward to 12.5 Bitcoins and then 6.25 Bitcoins, respectively.

The next Bitcoin halving is 2024, when the block reward will be further halved to 3.125 Bitcoins. The halving events will continue to occur approximately every four years until the maximum supply of 21 million Bitcoins is reached. At that point, no more new Bitcoins will be produced by mining.

The Bitcoin halving is an essential feature of the cryptocurrency's monetary policy, designed to gradually reduce the rate at which new Bitcoins are created and introduced into circulation. This mechanism aims to curb inflation, create scarcity, and increase the perceived value of Bitcoin over time. The halving events may also impact miner profitability, market dynamics, and price volatility in the cryptocurrency market.

What Impact Does the Bitcoin Halving Have on Cryptocurrencies

The Bitcoin halving is expected to impact crypto trading in several ways.

By reducing the rate at which new Bitcoins are mined, the halving decreases the supply of new coins entering the market. If demand for Bitcoin remains constant or increases, the reduced supply can create scarcity and potentially drive up the price of Bitcoin.

The Bitcoin halving does not directly reduce the number of Bitcoins available for sale immediately; instead, it halves the rate at which new Bitcoins are produced through mining. The total supply of Bitcoin is capped at 21 million coins, and the halving events occur approximately every four years until that limit is reached.

While the halving reduces the rate of new Bitcoin issuance and may temporarily reduce selling pressure from miners receiving lower rewards, it does not affect the number of existing Bitcoins available for sale in circulation. Bitcoin holders, exchanges, and other market participants continue to hold and trade existing Bitcoins.

Reducing the rate of new Bitcoin creation due to halving can have longer-term effects on the supply of available Bitcoins, potentially leading to scarcity and increasing demand for the cryptocurrency. This scarcity, growing adoption, and use cases for Bitcoin may contribute to price appreciation over time.

Miner profitability

The halving reduces miners' reward for validating transactions and adding new blocks to the blockchain. Miners may experience reduced profitability significantly if the price of Bitcoin does not increase enough to offset the decrease in reward. This situation could lead to some miners exiting the network, potentially impacting the security and processing speed of the Bitcoin network.

The Bitcoin halving has the potential to impact the profitability of miners, which could potentially lead to a reduction in the number of miners operating on the network.

The halving cuts miners' reward for successfully mining a new block in half. This situation means miners earn fewer Bitcoins for their mining efforts, which can significantly impact their profitability, especially for miners operating on thin profit margins.

As the block reward decreases, miners may need to allocate more resources, such as computing power and electricity, to maintain their operations and compete for the reduced rewards. This increased competition can pressure smaller mining operations, leading them to shut down or consolidate with larger mining pools.

The Bitcoin network adjusts the mining difficulty every 2016 block to ensure that blocks are mined consistently. If many miners exit the network after the halving, the mining difficulty may decrease, making it easier for the remaining miners to validate transactions. This adjustment can help to stabilize the network and incentivize miners to continue operating.

The impact of the halving on the number of miners can also be influenced by external factors such as the price of Bitcoin, market sentiment, and regulatory developments. A sharp drop in the price of Bitcoin following the halving, for example, could exacerbate the challenges faced by miners and lead to a decline in mining activity.

The Bitcoin halving is a highly anticipated event in the cryptocurrency community and often generates speculation and volatility in the market. Traders and investors may adjust their positions in anticipation of potential price movements before and after the halving, leading to increased market activity and price fluctuations.

Long Term Impact

The halving is expected to have a longer-term impact on the price and adoption of Bitcoin. Historically, previous halving events have been followed by periods of price appreciation and increased interest in Bitcoin as an investment and store of value. The reduced supply of new coins, coupled with growing demand and adoption, could contribute to long-term price growth for Bitcoin.

The Bitcoin halving is a significant event that can influence the cryptocurrency market in various ways, impacting supply and demand dynamics, miner profitability, market speculation, and long-term price trends. Traders and investors closely monitor the halving event and its potential impact on the market to make informed decisions and navigate the evolving landscape of the cryptocurrency market.

How Will the Bitcoin Halving Impact the Broader Cryptocurrency Market

An increase in the price of Bitcoin can have significant implications for the broader cryptocurrency market, influencing market sentiment, altcoin performance, market capitalization, trading volume, institutional interest, and regulatory dynamics. Investors and market participants closely monitor Bitcoin's price movements as a critical indicator of trends and developments in the cryptocurrency ecosystem.

Bitcoin is often seen as a bellwether for the broader cryptocurrency market. When the price of Bitcoin rises, it can create positive sentiment and optimism among investors and traders, leading to increased interest and investment in other cryptocurrencies.

Altcoins, or alternative cryptocurrencies to Bitcoin, may also experience price increases when Bitcoin's price rises. Investors may diversify their portfolios by allocating funds to various cryptocurrencies, leading to higher demand and price appreciation for altcoins.

The price of Bitcoin significantly impacts the total market capitalization of the cryptocurrency market. A rise in Bitcoin's price can lead to an overall increase in market capitalization, reflecting growing investor interest and confidence in the broader cryptocurrency ecosystem.

Higher prices for Bitcoin often result in increased trading volume across cryptocurrency exchanges. Traders may actively trade, buy, and sell cryptocurrencies to capitalize on price movements and profit from market trends.

Rising prices for Bitcoin can attract institutional investors and traditional financial institutions to the cryptocurrency market. Institutional participation can increase the broader cryptocurrency market's liquidity, investment capital, and legitimacy.

As Bitcoin's price rises, regulatory scrutiny and attention on the cryptocurrency market may also increase. Regulators and policymakers may closely monitor developments in the market to ensure compliance with existing laws and regulations.

The Bottom Line

The question is, who will benefit from crypto halving? The Bitcoin halving has the potential to benefit various participants in the cryptocurrency ecosystem, including Bitcoin holders, long-term investors, efficient miners, cryptocurrency exchanges, institutional investors, developers, and entrepreneurs. However, the impact of the halving can also vary depending on market conditions, regulatory developments, and individual investment strategies.

As the halving reduces the rate at which new Bitcoins are created, it can create scarcity and potentially drive up the price of Bitcoin over time. Existing Bitcoin holders may benefit from increased value appreciation and potential investment returns.

Investors with a long-term perspective on Bitcoin may view the halving as a positive event that reinforces the cryptocurrency's scarcity and store of value properties. The reduced supply of new bitcoins can contribute to price appreciation over the long term, benefiting investors who hold onto their Bitcoin for extended periods.

While the halving reduces the block rewards miners receive, those with efficient mining operations and low operating costs may remain profitable. Miners operating profitably post-halving may benefit from reduced competition and potentially higher Bitcoin prices, leading to increased mining rewards.

Exchanges that offer trading services for Bitcoin may benefit from increased trading activity and interest in Bitcoin surrounding the halving event. Higher trading volumes and volatility can attract more users to exchanges, increasing transaction fees and revenue.

The Bitcoin halving may attract investors and more significant financial firms seeking exposure to the cryptocurrency market. Institutional interest in Bitcoin can increase liquidity, market stability, and legitimacy in the eyes of traditional investors.

The Bitcoin halving can spur innovation and development in the cryptocurrency space as market dynamics evolve. Developers and entrepreneurs may seize opportunities to create new products, services, and solutions that cater to the changing landscape post-halving.

Excerpt from:

How Should the Bticoin Halving Impact the Cryptocurrency Market - Blockchain.News

March 22, 2024 by Diana Ambolis

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Solana, introduced in 2020, has swiftly risen as a high-performance blockchain platform, revolutionizing the industry with its innovative features. At the core of Solanas architecture is the groundbreaking Proof of History (PoH) mechanism, a decentralized clock that timestamps transactions before they enter the blockchain. This unique approach to transaction ordering significantly reduces confirmation times, enabling

Solana, introduced in 2020, has swiftly risen as a high-performance blockchain platform, revolutionizing the industry with its innovative features. At the core of Solanas architecture is the groundbreaking Proof of History (PoH) mechanism, a decentralized clock that timestamps transactions before they enter the blockchain. This unique approach to transaction ordering significantly reduces confirmation times, enabling Solana to achieve thousands of transactions per second with sub-second finality.

The synergy of PoH with Solanas Proof of Stake (PoS) consensus mechanism contributes to the platforms efficiency while maintaining decentralization. The native utility token, SOL, fuels the Solana ecosystem, serving various functions, including staking, governance participation, and facilitating transactions.

Solanas emphasis on scalability and low transaction costs has attracted a vibrant ecosystem of decentralized applications (DApps) and projects. Notably, decentralized finance (DeFi) projects like Serum and Raydium leverage Solanas high throughput to offer efficient decentralized exchanges and automated market makers. The platforms developer-friendly environment supports smart contracts using the Rust programming language, enabling the creation of complex and scalable applications.

PoHs role in Solana is pivotal, as it provides a tamper-resistant historical record of transactions, offering benefits such as low-latency confirmation, enhanced scalability, and efficient consensus mechanisms. The platform actively explores interoperability, with initiatives like the Wormhole bridge connecting Solana with other blockchains.

Despite facing challenges, including network interruptions and concerns about centralization, Solanas commitment to ongoing development and upgrades, supported by the Solana Foundation, showcases its resilience and determination to address emerging issues. As Solana continues to evolve, its impact on decentralized and high-performance blockchain solutions remains significant, making it a key player in the dynamic landscape of blockchain technology.

Also, read- Whales Market Announces the Launch of Its Revolutionary Dapp and Token on the Solana network

The importance of Solana in the blockchain ecosystem is underscored by its notable contributions to addressing key challenges faced by earlier blockchain networks, offering a range of features that make it a significant player in the industry.

Understanding Validators in Solana:

Validators play a crucial role in the Solana blockchain network, contributing to the security, consensus, and overall functionality of the decentralized system. Heres a breakdown of the key aspects of validators in Solana:

In conclusion, Solanas validators are integral components that underpin the security, consensus, and functionality of the blockchain network. Operating within the Proof of Stake (PoS) consensus mechanism, validators play a vital role in proposing and validating blocks, maintaining the decentralized nature of the network. The importance of decentralization is paramount in Solana, with a diverse set of validators contributing to the resilience and trustworthiness of the overall system.

Validators, driven by the incentive structure and the staking of SOL tokens, are incentivized to act honestly, ensuring the integrity of transactions and adherence to protocol rules. The dynamic nature of Solanas validator set allows for adaptability, as new validators can join, and existing ones can leave, fostering an environment that encourages innovation and participation.

Community engagement is a key aspect of Solanas validator ecosystem, promoting transparency, collaboration, and inclusivity. Validators often interact with the community, providing insights into their operations and seeking input, contributing to a more decentralized and community-driven governance model.

The diversity of validators, including those operated by different entities and community members, enhances the networks robustness. This diversity, combined with ongoing network upgrades facilitated by validator participation in governance decisions, ensures that Solana remains adaptive to evolving requirements and challenges.

Overall, its validators are not only technical participants but also active contributors to the governance and growth of the network. As it continues to evolve and play a significant role in the blockchain space, the collaborative efforts of validators and the community underscore the importance of their role in maintaining the integrity and innovation of the ecosystem.

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Understanding Solana Validators And Top 10 Important Things To Know About Them - Blockchain Magazine

Vitalik Buterin proposes a hard fork strategy for Ethereum to protect funds against quantum computer attacks, sparking a community-wide discussion on quantum security.

Ethereum co-founder Vitalik Buterin has proposed a hard fork strategy. This preemptive measure is designed to protect user funds in the event that quantum computers become capable of breaking current cryptographic defenses.

The proposal, outlined in a discussion on the Ethereum Research forum, highlights the urgency of preparing for quantum computers' ability to solve problems like the discrete logarithm, which underpins the security of many current cryptographic algorithms including those used by Ethereum.

The proposed hard fork would entail the following steps:

The conversation in the Ethereum community is informed by a range of expert inputs. One participant shared a visual aid to help understand the proof statement, while others discussed existing quantum-secure fallbacks for wallets and the integration of preimages into ECDSA signature nonces to create fail-stop signature schemes.

Some community members have cautioned that if quantum computers capable of cracking Ethereum wallets are already in malicious hands, it might be too late to differentiate between legitimate owners and attackers. They suggest that instead of relying on stateful post-quantum algorithms, Ethereum should use NIST standardized ones in hybrid mode with a classical algorithm, like combining Dilithium with ed25519. This would, however, increase block sizes due to the large signature and public key sizes of current post-quantum schemes.

Others have proposed the development of machine learning systems to monitor and detect abnormal transactions as an early warning system to trigger a fail-safe fork.

The community's response underlines the importance of staying ahead in the security arms race against quantum computing. Innovations such as Lamport signatures and ERC 4337-based quantum-resistant smart contract wallets are already in development, as is the integration of quantum-safe cryptographic measures in other digital signature applications.

This initiative by the Ethereum community reflects the broader blockchain ecosystem's commitment to resilience and adaptability in the face of emerging technological threats. As quantum computing advances, the blockchain sector's proactive stance on security promises to be a critical factor in its long-term viability and trustworthiness.

The Ethereum team and community's proactive approach to quantum security demonstrates a clear recognition of the challenges ahead and a willingness to address them head-on. This ongoing conversation will likely shape the future of Ethereum's infrastructure and set a precedent for other blockchain platforms.

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Vitalik Buterin Proposes a Quantum-Resistant Hard Fork for Ethereum - Blockchain.News

The ETHTaipei Ethereum Developer Conference is set to take place from March 21 to March 24 in Taipei featuring a lineup of international speakers and teams, including Ethereum co-founder Vitalik Buterin. ETHTaipei is expected to attract over 1,000 attendees.

The four-day event includes two days of conferences and a 40-hour hackathon, offering a direct exchange platform for both Taiwanese and international developers. Topics will focus around Ethereum, ZK (Zero Knowledge), DeFi, and Security, with discussions on latest trends and developments in blockchain technology such as the restaking ecosystem, applications and products of ZK, and the innovative interplay between ZK and AI.

Vitalik Buterin to Share Ethereum's Post-Dencun Upgrade Vision

ETHTaipei will feature a number of high-profile speakers, including Vitalik Buterin, who will deliver a keynote talk on the first day of the conference (March 21). Buterin will share his vision for the future of blockchain and Ethereum, following the recent Dencun upgrade.

The Dencun upgrade, which was completed today, will help improve the performance and scalability of the Ethereum network. At ETHTaipei, Buterin will share more about Ethereum's long-term roadmap and his thoughts on the development of the entire blockchain ecosystem. He will also participate in two panel discussions with researchers and leaders from L1 and L2 solutions, including Optimism, Polygon, Zircuit, and Metis.

Hackathon Prize Pool Reaches $65,000

The hackathon, which kicks off on the evening of March 22, has already accumulated a prize pool exceeding $65,000. The prize pool comes from a number of well-known domestic and international teams, including Consensys, Polygon, OP Labs, Mint Club, Ora, Zircuit, MACI, Ten Protocol, Dyson, Morpheus Labs, OpSec, ThunderCoreScrollSpacemesh, and more.

The hackathon will be held in a hybrid format, allowing for online anonymous participation. On-site amenities include a 24-hour Hacker House and a variety of snacks and beverages, fostering collaboration among developers. Industry experts will serve as hackathon mentors, enabling participants to engage with seasoned professionals and rapidly enhance their skills.

Circle and Quantstamp to Recruit On-Site

Several blockchain companies, including Circle, Quantstamp, XY Finance, and AppWorks, will be present at the booth area, offering face-to-face interactions and recruitment opportunities for developers. In addition, Taiwan Ministry of Digital Affairss Digi Gold Card program will be providing consultation services at the event, with the aim of attracting more foreign digital talent to Taiwan and contributing to the development of the country's digital economy. Nuvo will also be offering on-site tasks and event surprises to add to the fun for attendees and hackers.

ETHTaipei has garnered enthusiastic support from various enterprises. BTSE generously sponsors coffee, Taiwan Mobile provides high-speed broadband internet, and KlickKlack offers wireless network equipment, and we also get vouchers from ShiYun Fried Chicken. Attendees can also enjoy exclusive treats from PaperPlane and several bars. Expect a rich agenda and delightful dining experiences, making this a memorable gathering in Taipei.

ETHTaipei 2024 Event Information

Date: March 21-24, 2024 Location: POPUP Taipei Tickets and event information:https://ethtaipei.org/

Media Contact

ETHTaipei Team ethtaipei23@gmail.com Hana Chang +886-975-856-705

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ETHTaipei: Vitalik Buterin to Share Ethereum's Post-Dencun Upgrade Vision - U.Today

At what point will we declare that quantum technologies are no longer emerging, but have fully arrived? Whatever the breakthrough is that signals the tipping point, legal frameworks are not yet ready to handle the impacts of widespread quantum computing on people, societies and the rights they hold. Recent developments in the artificial intelligence (AI) policy space provide a useful roadmap for anticipating the evolution of policy approaches for regulating quantum technologies and the universe of risks they will bring with them.

Yet, as with AI, the risks are still under examined. Though we know that they will emanate from the ways in which quantum computing will amplify existing technologiessuch as AI and surveillance it is also clear they will stem from brand new capabilities, like breaking all current encryption or the application of quantum sensing (which will bring the ability to see through barriers, around corners, and potentially into the body or mind). This paper aims to shine a light on these risks, as well as the practical steps that can be taken today to address them.

The widespread release of generative AI models and applications in 2023 sent shockwaves through popular culture and signaled to world leaders and policymakers that the risks of artificial intelligence (AI) outstripped many of our existing risk management frameworks. It triggered an unprecedented wave of new efforts to plug the gaps, including The Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, The Voluntary Commitments from Leading Artificial Intelligence Companies, The Bletchley Declaration, The Hiroshima Process, and the UN Advisory Body on AI Interim Report on Governing AI for Humanity, the NIST AI Risk Management Framework, and the EU AI Act, as well as the forthcoming Council of Europes Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law.

Stakeholders point out that the fourth-quarter rush to better govern AI parallels the pace of efforts to govern social media and the digital economy. They continue to urge policymakers to act with greater speed to safeguard against AI risks, including stronger application of existing human rights frameworks to manage AI risks. The wait-and-see approach to regulation is only justifiable when the benefits of innovation are clear and the risks are low, ill-defined or under examined. However, quantum computing, particularly in conjunction with AI, has many foreseeable dangers. Hard won lessons from recent tech policy history show us how critical it is for policymakers to safeguard quantum technologies before they are more widely deployed and accessible.

The risks that over-regulation can stifle innovation and cause technological leaders among nations, like the US, to be less competitive in a complicated geopolitical environment are real, and policy recommendations must balance these considerations. Considering quantum regulation now provides an opportunity to develop forward-looking, intentional policy frameworks that better balance the need for innovation with the need to safeguard human rights. Now is the time to begin these conversations before yet another Pandora opens a box of societal ills.

IBM, the United States foremost quantum developer, estimates that by 2030 the full power of quantum computing will be unlocked. If the companys estimates are accurate, there could be as little as six years to build the international consensus needed to establish guardrails for responsible and rights-respecting quantum computing, including updated standards for cryptography. If the past is precedent, it will take time for the global community to coalesce around approaches for integrating key human rights principles into innovation-friendly risk management frameworks for quantum, and it will take even longer for new and updated standards to be implemented. For example, in 2022 the Biden Administrations National Security Memorandum 10 on Promoting United States Leadership in Quantum Computing While Mitigating Risks to Vulnerable Cryptographic Systems, establishes 2035 as the date by which US Government entities should achieve a timely and equitable transition to quantum resistant cryptography to mitigate as much risk as possible. The time to start building consensus is now. What risks should policymakers and companies prioritize and what can be done to manage them?

To underscore the urgency of preventative policy action, we present three concrete examples of the potential dangers posed by quantum computing if we fail to take precautionary steps now. These three risks are among the most nearterm issues the world will confront as quantum technologies are deployed for everyday use: encryption breaking quantum computing, the pairing of quantum technologies with artificial intelligence for digital repression, and the application of quantum technologies to make thoughts legible to external observers (also known as mind reading).

First, a quick overview of what quantum technologies mean at this moment in time. In their groundbreaking 2021 book Law and Policy for the Quantum Age, Chris Jay Hoofnagle and Simson L. Garfinkel outline three areas in which quantum information science (QIS) will have the biggest nearterm impacts on nation states, decisionmakers (including investors), and individuals lives. Those areas are: quantum sensing, quantum computing, and quantum communications, which are defined below. The authors highlight that the nexus of these QIS sectors present a number of potential civil and political rights implications that existing policy frameworks do not yet address. Fundamental human rights standards can and will eventually be applied to prevent and address the application of QIS technologies in harmful ways. However, the slow, halting application of such standards in the social media and AI spaces, often in the wake of avoidable tragedies, teaches us that additional international consensus is required to better define and guide how human rights shape technology governance. The absence of fit-for-purpose frameworks enables bad or negligent actors to take advantage of the gray space to societys collective detriment.

For many readers, QIS technologies are likely not yet well known. Here are some basics:

While we are focused on the potential human rights risks that could result from more generally accessible quantum technologies, human-rights based risk frameworks can and should be developed to consider the broader range of risks relating to the application of QIS technologies across the tech stack and across all sectors of society, industry and national defense. This article outlines some of the most troubling risks, largely outside of the national security context, and suggests potential policy approaches that policymakers can prioritize in the coming decade.

In this age of hyper-connectivity, the sanctity of personal information underpins not only individual privacy but also the pillars of national security and global diplomacy. This sanctity is often secured by RSA encryption. In basic terms, RSA encryption involves two keys: a public key, which can be shared with everyone, and a private key, which is kept secret. When a message is sent, it is encrypted using the recipient's public key. This encrypted message can only be decrypted with the corresponding private key. The security of RSA stems from the fact that, while it's relatively easy to multiply two large prime numbers together to create a product, it's extremely difficult to do the reversethat is, to start with the product and find the original prime numbers. This one-way function is what makes RSA encryption among our most robust data privacy protections. The greatest supercomputers on the planet today would take millions of years to break this code. A seemingly invincible algorithm will meet its match, though, in the coming age of quantum computing.

Quantum computers are uniquely advantaged in solving this problem due to their fundamentally different approach to processing information. Qubits within a quantum computer exist in multiple states at once, in stark contrast to the binary nature of traditional bits. Quantum programs such as Shors Factoring Algorithm take advantage of this property in order to test an array of potential factors in the public key all at once. This fundamental distinction and other qualities allow these devices to determine the correct factors much faster than traditional computers. A sufficiently powerful quantum computer could cut the time needed to decode RSA encryption from eons to minutes.

Some experts hold that RSAs demise is a distant problem, given the current capabilities of quantum computers. While we are still jumping the technological hurdle of scaling quantum devices, and although Shors algorithm is computationally taxing, recent research such as that by NYU researcher Oded Regev may bring about quantum code-breaking much sooner than we once thought. Given the rapidly changing quantum landscape, with new research constantly being published, the uncertain timeline for these algorithms is all the more reason to be prepared.

The threats that this development poses to our data infrastructure are glaringly obvious. In addition to threatening the security of government secrets and citizens private information, an RSA breach could have significant human rights implications. Consider the nature of end to end encryption over messaging services that use RSA encryption such as Skype, Apple iMessage and Telegram. These tools provide human rights defenders and activists with a means of communication that is less vulnerable to unwarranted surveillance practices, enabling them to avoid arrest or detention for exercising protected civil and political rights. As quantum computers extend encryption breaking capabilities to repressive regimes, human rights defenders will become easy targets for government surveillance and repression. Repressive regimes may already be collecting currently uncrackable message contents in hopes they may be readable down the road using a Harvest Now, Decrypt Later methodology, a scenario that has already prompted some tech firms to act.

Adopting post-quantum cryptography will be logistically challenging and resource intensive, but it is an issue we must address urgently. The path is clear: establish a more forward-looking quantum policy agenda that mandates the overhaul of our encryption standards and software to elevate the use of algorithms that are safe against classical and quantum computation. The United States has already taken decisive action in this area. In 2022 the Biden Administrations National Security Memorandum 10 on Promoting United States Leadership in Quantum Computing While Mitigating Risks to Vulnerable Cryptographic Systems established 2035 as the date by which US Government entities should achieve a timely and equitable transition to quantum resistant cryptography to mitigate as much risk as possible. To support implementation of NSM-10, the US is developing standards for post-quantum encryption methods through The National Institute of Standards and Technology (NIST), which has already selected four quantum-proof encryption algorithms.

The development and integration of these standards into software and hardware requires concerted efforts from manufacturers and developers, including rigorous security and interoperability testing. Moreover, the update of critical infrastructure and services must be prioritized to uphold security and trust. Regulatory adjustments by governments to foster or enforce the adoption of these new encryption standards are essential, alongside public education initiatives to highlight the importance of embracing these updates for enhanced security. Continuous research and adaptation are imperative to counteract evolving cyber threats and technological innovations, effectively future-proofing encryption methods. The degree to which new standards are implemented depends upon the availability of sufficient resources to convert encryption systems. Those resources will only be made available if government and private sector stakeholders are sufficiently aware of impending risks and motivated to prioritize often scarce resources.

Academics, policymakers and civil society groups have raised alarm bells in recent years to draw attention to the risks posed by the misuse of technology, including artificial intelligence, to repress political opposition, surveil activists and control populations. As authoritarian (and some democratic) regimes increasingly harness technology to repress the public and retain or expand power, threats to fundamental civil and political rights are growing. While policymakers currently have their hands full developing human rights frameworks and safeguarding tools to better identify and manage the risks of artificial intelligence, advances in QIS will not wait. As human rights and technology scholar Vivek Krishnamurthy warns us, Quantum technologies may not yet be at the level of development where their potential impacts can be examined in detail. Even so, now is the time for the [quantum science and technology] and human rights communities to begin a dialogue to prepare for the deployment and commercialization of these technologies in a rights-respecting manner.

While many unknowns remain, there are a number of risks that are more foreseeable, as described below. Is there a way to shape evolving AI risk management frameworks to account for the additional impacts of AI combined with quantum technologies? For example, guardrails that mitigate the risks of AI-powered data fusion and social scoring would go a long way to mitigating the compounded impacts when AI is combined with quantum technologies. In addition to building upon the policy roadmap provided by AI governance frameworks in the future, is it possible to embed additional, quantum-facing risk management measures now?

AI is already being used by autocratic governments to better track political opposition and activists, and to coerce support for autocratic regimes through denial of needed government services. As noted in the 2020 Senate Foreign Relations Committee report on the use of surveillance and big data analytics in the Peoples Republic of China, artificial intelligence, facial recognition technologies, biometrics, surveillance cameras, and big data analytics [are being used] to profile and categorize individuals quickly, track movements, predict activities, and preemptively take action against those considered a threat in both the real world and online. Through big data analytics, algorithms conglomerate personal data and surveillance data surrounding ones behavior, activities, and social interactions in order to track or even score individuals. This process requires the analysis of a huge amount of data, which is challenging for classical computers on a massive scale, but ideal for quantum systems. Quantum computers ability to handle vast amounts of data at high speeds will enable disturbingly sophisticated and invasive analysis of personal behaviors and social interactions. This increased computational power allows for the real-time monitoring and scoring of individuals on a more granular level, super-sizing tactics for authoritarian control and surveillance.

As alluded to above, real-time remote biometric surveillance equipment creates the capacity to track individuals. Digital identification and centralized databases for this information create the potential for governments and for-profit enterprises to misuse such systems to monitor individuals through the use of big data analytics. Artificial intelligence can make sense of this data in order to create profiles of citizens which aim to distinguish one person from another based on collected biometric information. The Carnegie Council estimates that over 100 US cities are currently using data fusion technologies to track individuals through doorbell cameras, license plate readers, digital utility meters, street cameras, and GPS technologies, in a way that can create extensive individual profiles. Data fusion is defined as bringing data points together to create a swarm of information that can reveal a great deal about a traceable individual. The Carnegie Councils Data Fusion Mapping Tool provides an overview of the impacts of data fusion on the exercise of civil liberties in the US and highlights the risks of allowing data fusion to be used in jurisdictions without adequate due process or other risk mitigation measures.

AI-powered data fusion is not yet universally used. Now is the time to consider the implications of a super-sized universal data fusion capacity powered by quantum computing technology. Quantum-powered data fusion could make it impossible for an individual to evade tracking due to the power to process massive amounts of data pulled from unlimited public or private sector sources. Quantum computers will further expand the ability of surveillance systems to recognize your gait across millions of hours of surveillance footage, single out your voice from an audio recording of a crowded room, or identify you from the cadence of your keystrokes, without needing to read the text you send. Whether moving through city streets, participating in protest, or simply enjoying the supposed solitude of open spaces, the shadow of surveillance looms large, with quantum-enhanced systems capable of sifting through the haystack of data to pinpoint the needle of an individual identity with astonishing precision. In short, the birth of quantum computing may signal the death of anonymity.

Due to their ability to analyze huge data sets and recognize patterns or deviations from those patterns, quantum computers detect anomalies far more effectively than do classical computers. When fed surveillance data regarding the behavior of an individual, a future quantum computer would have the power to determine if that behavior deviates from their usual conduct, and ascertain what future actions will likely stem from this abnormality. Human rights concerns arise if and when this technology is applied for the purpose of predictive policing. Detaining or questioning individuals based on predicted future actions blurs the line between potential and actual wrongdoing. If left unchecked, this predictive technology could be used to further erode the line between intent to potentially commit a crime and the criminal act itself.

Lawmakers are working to enact safeguards needed to address risks that can result from the application of artificial intelligence for certain uses and in certain contexts. For example, the EU AI Act will prohibit social scoring, certain applications of predictive policing, and remote biometric identification for law enforcement purposes in public settings. There is not yet global consensus supporting prohibition of these uses of AI, and there are clear concerns that such prohibitions will stifle innovation or constrain law enforcement. The fact remains that international consensus for innovation-friendly AI safeguards are urgently needed before the riskiest use cases outlined above become commonly accepted practice. Such guidelines, many of which are under development by the United Nations, OECD (in multiple papers), and other international bodies, will provide an invaluable roadmap for launching similar efforts to constrain the misuse of quantum-based technologies for digital repression.

Beyond the policy realm, are companies taking up the challenge to design, develop and deploy QIS in ways that protects us from extreme misuse cases? If QIS is deployed in tandem with data-driven AI technologies, then the biases and inaccuracies that can emerge from AI applications would be substantially scaled beyond what we see today. How will existing algorithmic bias audits or similar safeguards be tweaked to consider the potential impacts of the quantum age? What role can regulation play in prompting companies to take such steps without stifling innovation or hampering law enforcement? How can we advance such efforts now, before pandora opens the box? And perhaps most urgently, can we apply a quantum lens to the development of AI governance frameworks today that may help us mitigate tomorrows risks?

We are already living in a time when machines are capable of translating your brain activity, as seen through an MRI, into words. Your very thoughts are now legible. Surveillance cameras are similarly trained to register your emotionsthis is a form of emotional AI, which companies are already using to improve targeted sales. Do you have the right not to have your mind or emotions read? This is a question we will need to resolve before quantum computing amplifies the capabilities of mentally intrusive technologies.

Quantum computers are likely to further amplify the power that classical computers already have to identify patterns and correlations in MRI brain scan images that classical computers cannot. Consider again the question of arrests made possible by quantum computing. Is a quantum powered lie detector testone using an MRI machine and a sufficiently powerful quantum AI algorithm, instead of a heart rate monitoradmissible in court? To take it a step further, is intent to commit a crime, if recognized through the power of a quantum mind-reader, grounds for legal intervention? And what guardrails would be required to ensure that the data sets upon which such algorithms are based are free from bias and inaccuracy? While these applications of quantum computing are more speculative than the inferences made above, they are potentially more urgent given the degree of possible harm and the absence of targeted human-rights frameworks or safeguards.

Critical questions about the limits of brain legibility do not appear to be at the forefront of most AI policy conversations, which leads one to conclude they will be similarly sidelined in future engagements on the intersection of human rights and quantum computing. Policies that establish human rights-based neurological safeguards are still underdeveloped. Now is the time to better define them. While we are far from an international consensus, one initial effort to define neurorights identified five categories that could be helpful in considering the impact of quantum-powered brain legibility. Those rights are: the right to mental privacy so that our brain data cannot be used without our consent; the right to free will, so we can make decisions without neuro technological influence, the right to personal identity so that technology cannot change our sense of self, the right to protection from discrimination based on brain data, and not least, the right to equal access to neural augmentation. International policy conversations outlining the application of human rights in this context are urgently needed and long overdue. It is unclear whether the neurorights discussion will attract global attention. Fortunately, policymakers have a wealth of existing human rights to consider in connection with emerging quantum mind-reading risks, including the right to bodily integrity that protects autonomy over ones body.

It is too early to identify the full range of potential impacts that QIS technologies may have on individuals and societies. However, experience establishing safeguards in connection with the internet, social media and artificial intelligence shows how difficult it can be to erect risk management efforts after economic models are entrenched or unregulated behaviors coalesce into accepted practice, regardless of their impacts. Now is the time to raise awareness of the foreseeable risks and increase research on risks that are less well understood. Increased advocacy by stakeholders from civil society, consumer protection organizations and academic institutions will help to justify allocation of the resources needed to achieve the recommendations outlined above. Financial commitments by public and private sector entities will be necessary to support a transition to quantum-ready encryption by 2035. Resources will also be needed to support policy analysts in considering if and how quantum considerations can be accommodated in todays AI risk management frameworks. And perhaps most importantly, QIS developers must allocate sufficient resources to understand the impacts that brand new capabilitieslike quantum sensingwill have on individuals and society as a whole.

The quantum computing community has a great deal to learn from recent efforts to apply the UN Guiding Principles for Business and Human Rights to generative AI models and applications. Such efforts provide a roadmap for better weaving human rights-based enterprise risk management approaches to govern QIS for governments and businesses alike. QIS stakeholders are fortunate to have an opportunity to build upon the evolving international consensus being hammered out now for AI.

The risk quantum computing poses to RSA encryption is already well understood, and NIST has established important guidelines for bringing encryption standards into the quantum age. However, as noted above, this shift will require significant policy support and even public funding to ensure that the pace of transition matches evolving quantum capabilities.

While world leaders and policymakers have their hands full addressing the most urgent AI-related risks, parallel questions in the QIS space will become increasingly urgent as we near 2030. Bandwidth among policymakers in the technology space is more limited than ever, and one can argue that regulating quantum risks should take a backseat when compared with the urgency of present day impacts of AI. While the risks may be years awaythey will also be significant. This moment offers an important opportunity for the legions of organizations, think tanks and academics who moved quickly to respond to evolving risks of generative AI to now turn their attention to the QIS horizon. This is the time to prepare the same level of thoroughly researched, insightful and practical recommendations for innovation-friendly QIS risk management that will enable policymakers and companies to take action beforeglobal society becomes a real-time testbed for identifying QIS impacts.

This article represents the opinions of the authors and in no way reflects the position of the United States Government or USAID. Thanks go to Stanley Byers, Chris Doten and Paul Nelson for their contributions to this article.

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Are We Ready for the Quantum Age? Preparing for the Risks of Quantum Technologies with Rights-Respecting Policy ... - Tech Policy Press

The cybersecurity sector is experiencing a surge in job opportunities. But, there are not enough skilled people to fill the roles.

According to the 2023 ISC2 Global Workforce Study, the cybersecurity workforce grew to an estimated 5.5 million, signifying a massive growth trajectory.

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Despite this expansion, ISC2s report shines a spotlight on a pressing reality: The cybersecurity workforce is still too small to counter the escalating threat landscape. The study reveals that while the industry ideally requires an annual workforce growth rate of 12.6% to be effective, it only saw an 8.7% increaseexacerbating the workforce deficit.

As the gap grows, the need for cybersecurity is becoming pervasive, says Ricardo Villadiego, the CEO and founder of LUMU, a freemium cloud-based cybersecurity analysis software. Villadiego believes that if you are enrolled in high school or college or starting from scratch, you must build a skill set to serve the increasing demand.

Cybersecurity is a field that deals with the protection of computer systems and data from malicious cyberattacks. Cybersecurity continuously faces new challenges and innovations as the world becomes more connected and dependent on technology.

Some factors shaping the cybersecurity landscape are geopolitical tensions, new technologies, and emerging threats. And with the constant reshaping of the industry comes the pay. According to Payscale, the base salary for an entry-level cybersecurity analyst is around $81,000.

Traditionally, cybersecurity has been a field that requires highly skilled experts to manage it effectively, Villadiego explains. But, this approach has failed. There simply arent enough people with the necessary expertise to defend companies against the attacks they face today.

In fact, the ISC2 study says that most of its respondents expressed concerns about the shortage of cybersecurity personnel, citing it as a pivotal risk factor for organizations.

Meanwhile, CompTIAs State of Cybersecurity 2024 report emphasizes the critical challenge of bridging the demand-supply gap, highlighting the need to bring in less experienced cybersecurity professionals who can continue building their skills.

According to Tom Kellermann, the Senior Vice President of Cyber Strategy at Contrast Security, There arent enough white hats or defenders. Kellermann believes that a passion for defense is a crucial attribute for anyone looking to enter the field of cybersecurity. When you watch sports, do you find yourself drawn to the defensive side of the game? Whether its hockey, basketball, football, or baseball, do you like defense?

If you do, this career path could be the perfect fit.

Taking a free online course and coupling it with a certification is a great way to develop a well-rounded skill set. This approach enables learners to equip themselves with knowledge and expertise to succeedat their own speed.

Fortune has saved you some time and money, curating six free online courses that can help you become a specialized player in cybersecurity and a strong candidate for hiring managers.

This free, self-paced course is for people just jumping into the world of cybersecurity. It teaches security principles, disaster recovery, and network securityall topics in the recently created Certified in Cybersecurity certification exam. This course and certification are free for the first 1 million people who sign up.

Duration: 14 hours

Difficulty: Beginner

Instructor: An ISC2 Authorized Instructor

What you get: Pre and post-course assessments, knowledge checks, study sheets, quizzes, podcasts, and flashcards

Exam difficulty: Beginner

Exam cost: Free

If cybersecurity were a sport, ethical hacking would be the offense. EC-Councils Ethical Hacking Essentials Course covers topics from network defense and digital forensics to penetration testing and asset security. The curriculum teaches you the fundamentals of how to get your EC-Council Certified Ethical Hacker (CEH) certification.

Duration: 15 hours

Course difficulty: Beginner

Instructor: EC-Council

What you get: Certificate of completion

Exam difficulty: Beginner

Exam cost: A voucher costs $950

This nearly 19-hour-long course from Cybrary teaches IT professionals how to secure cloud and network infrastructure, encrypt data, and prevent cyberattacks. The course draws on CompTIAs 40 years of experience in training and certifying IT professionals. It heavily focuses on the strategy and vocabulary you need to pass the CompTIA Security+ exam.

Duration: 9 hours, 44 minutes

Course difficulty: Beginner

Instructor: Kelly Handerhan

What you get at the end: Certificate of completion

Exam difficulty: Entry level

Exam cost: $392 registration fee

This short course from IT Masters is an introduction to the role of SOC analysts, who monitor and respond to cyber threats. The course covers the foundational knowledge required for the Cisco CCNA CyberOPS certification, a globally recognized credential in cybersecurity. The course trains on types of attacks, different aspects of cloud computing (from Google Cloud to Microsoft Azure), and the general fundamentals of cyber threats.

Duration: 4 weeks

Difficulty: Intermediate

Instructor: Matt Constable

What you get: Weekly hour-long webinars, written and video resources, questions from discussion forums, weekly activities to complete, an open-book final exam, and a certificate of completion

Exam difficulty: Beginner

Exam cost: $300$450

The coveted CISSP badge is one of the most respected certifications in the field. Become a CISSP with this 4-hour certification course that covers vulnerability tests, malware management, and best practices. This SkillUp training program is regularly updated and gives you 90 days to finish. While the course is short and open to the public, you need at least five years of relevant professional experience to sign up for the exam.

Duration: 4 hours

Difficulty: Intermediate

Instructor: N/A

What you get: Certificate of completion

Exam difficulty: Intermediate

Exam cost: Free

While this course does not end in a certification exam or correlate with a certification, it is an excellent resource for learning the basics of cybersecurity. The Massachusetts Institute of Technology taught a 12-unit graduate-level, semester-long overview course in the Spring of 2014, and it is now available for free download. This class will introduce you to theoretical security problems in computer networks and cryptography.

Duration: 26 sessions

Difficulty: Intermediate

Instructor: Prof. Ronald Rivest

What you get: Access to lecture notes, example problem sets with answers, and project and programming assignments

Villadiego encourages those interested in getting an entry-level cybersecurity analyst job to use the CISCO website, which offers a network architect program that teaches fundamental networking knowledge.

At the end of the day, cybersecurity problems happen on top of interconnected networks, Villadiego adds. So you need to have some level of basic networking knowledge.

The CISA website offers free resources that teach everything from the cyber threat landscape and the types of threats that exist to strategies on how to defend against them.

Before starting any coursework, you should consider scheduling your certification test date and purchasing an exam voucher. This way, youll be pressured to prepare and ace your exams.

If youre looking for something beyond free courses, Fortune ranked the best masters degrees in cybersecurity.

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Enhance your cybersecurity skills with these 6 free online courses - Fortune

Cybersecurity professionals must guard against growing threats in increasingly complex environments. Modern architectures and defence-in-depth strategies place particular emphasis on digital identity as a key component of this defence.

Trending approaches such as Zero Trust Network Architecture (ZTNA), hybrid cloud, Internet of Things (IoT), and even Web3 depend on digital identity to remain secure and functional.

However, most security professionals dont know about the looming threat to modern encryption and digital identity posed by quantum computers. Quantum computers stand to change computing architectures capabilities, bringing them many wondrous benefits.

However, their advanced capabilities include the looming ability to break the RSA and ECC encryption algorithms that are the foundation of our secure computing networks. What was once a theoretical field of research is now an engineering challenge. There is no doubt that quantum computers will become commercially viable and practical it is now just a matter of when.

In the UK particularly, were seeing a rising influence from both the public and private sides to make quantum computing a reality. In the chancellors recent statement, they confirmed the UK Governments Quantum Strategy outlined earlier this year. While commendable, his earnestness in the ten-year Quantum Plan falls short regarding a sustained commitment to safeguarding encryption security.

The contradiction is evident while the remarkable processing power of quantum holds boundless potential, it simultaneously poses a significant threat to the foundation of all encryptions.

This is why we must not forget the security challenges associated with this advanced technology. If a country does develop a quantum computer capable of breaking current encryption methods, it would likely keep it a closely guarded state secret, as the UK did when it broke the Enigma code during World War II.

This is the quantum paradox unprecedented computing benefits balanced by the ability to break encryption codes and protocols that the digital economy relies on. Businesses Ignore either side of this coin at their own peril.

For this reason, businesses must take proactive measures to prepare for the inevitable transition to quantum-safe algorithms before it is too late.

With the quantum computing era fast approaching, 2024 will see enterprises and governments preparing for this new computing paradigm.

As quantum computers will inevitably break the cryptographic foundation stones of our modern digital systems, the United States National Institute of Standards and Technology (NIST) has been leading a multi-year process to discover, test, and settle on new, post-quantum encryption algorithms for the world to use.

Expect to see widespread adoption of post-quantum cryptography, increased investments in quantum-safe solutions, and substantial mindshare given to making sure critical infrastructure, intellectual property, and sensitive systems have migration plans. Those caught unaware by the sudden emergence of quantum computers able to unravel current encryption face catastrophe.

Transitioning core systems, encryption, and data to be quantum ready before these machines go online is now an urgent priority.

Organisations in every sector will feel pressure to begin the lengthy path to quantum readiness over the next year. If they are to ensure complete security with all devices, they must start planning accordingly, with at least two years advance in mind.

This is the average time needed for an entire organisation to safely and securely roll out these complete changes regarding quantum computing. In particular, financial services, government agencies, defence contractors, and companies with valuable IP have the most at risk and must start now.

IT departments must migrate to post-quantum cryptography (PQC) before quantum computers render all their encryption worthless, exposing their secrets to any sufficiently resourced attacker.

This change will require upgrading all software and hardware to PQC-compatible versions and migrating all digital certificates to new versions that enable PQC.

This transition will become a mainstream boardroom discussion. No longer a buzzword or a topic to be tabled, becoming crypto-agile to prepare for post-quantum encryption will be a key focus for the C-suite next year.

This shift has been supported by NISTs efforts to bring about quantum-resistant encryption and its impactful educational campaign on quantum computings threat to decryption. What was a theoretical discussion about decryption has become a mainstream business focus.

The migration to PQC does not necessarily require that you retire your existing hardware. Many systems will be able to accept software updates, allowing PQC algorithms to operate in place of RSA or ECC.

However, to do so, enterprises will still need the ability to apply patches comprehensively and to change the certificates they manage throughout their infrastructure.

Given quantum computings rapid development, many new IoT devices, services, and applications that are being developed must begin adopting quantum-safe PKI. IoT devices that will be in the field for at least ten years should be prioritised in having these measures embedded so they remain secure and are not compromised by evolving quantum-based attacks.

In addition to tremendous promise, quantum computing presents us with phenomenal risk. Addressing the threat quantum computers pose to traditional encryption will require the wholesale changeover of supporting software and hardware.

Prepare your organisation now before the quantum era leaves you exposed. 2024 is the year when quantum readiness becomes both a competitive advantage and an existential requirement.

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2024: The year of quantum computing - Innovation News Network

LEESBURG, Va., Jan. 31, 2024 /PRNewswire/ -- Quantum Computing Inc. ("QCi", "we", "our" or the "Company") (Nasdaq: QUBT), an innovative quantum optics andnanophotonics technology company,today announced new leadership appointments as the Company readies for an active 2024 with an anticipated market-disruptive product release schedule. William (Bill) J. McGann, Ph.D., a globally recognized leader in commercialization of innovative technology, has been appointed CEO of Quantum Computing Inc. Dr. McGann succeeds QCi's co-founder Robert Liscouski who remains Chairman of the Board to help oversee the Company's growth and expansion.

Dr. McGann has a decade-long track record for transforming credible science into practical technology in steps of innovation, engineering, and leadership. In his role as QCi's CTO, Dr. McGann has driven the launch of QCi products in the areas of quantum optimization machines, reservoir computing for AI, quantum remote sensing, and quantum random number generation in 2023. Bill and the team are leading the charge in the Company's mission to provide "accessible and affordable" quantum technology to the world. Over the course of his professional career, Dr. McGann has held numerous business and technology leadership positions.

Dr. McGann began his entrepreneurial journey in 1990, where he was a co-founder of a disruptive technology innovation company, Ion Track Instruments. There, he and the team created a revolutionary new explosives trace detection technology and methodology that is widely deployed around the world today. After successfully capturing a majority of the global market share in this industry, he sold Ion Track to GE and formed the GE Security business unit in 2002, where he continued to create new technologies to further grow the industry. Since then, Dr. McGann has led and driven innovative product design in several businesses, both large and small, which include United Technologies, Implant Sciences Corporation, L3 Harris Corp., and then Leidos as CTO of the Security and Automation division.

Dr. McGann received his Ph.D. in Chemical Physics from the University of Connecticut and holds undergraduate degrees in both chemistry and biology. He has authored over 70 research proposals (SBIR) for the U.S. government, dozens of scientific publications, and 26 patents in the areas of nuclear, chemical and biological detection technologies.

Commenting on Dr. McGann's appointment, Robert Liscouski, co-founder and Chairman of Quantum Computing Inc., shared, "Over the past six years, QCi has evolved into an innovative leader of nanophotonic quantum technologies. We believe we are about to revolutionize the market with another breakthrough technology that delivers processing power, accuracy and speed at minimal energy usage at a reasonable price as true to our mission of providing accessible and affordable quantum technology to the world. I am proud to have led QCi through inception to this inflection point where it is positioned for significant growth in 2024. While I will continue to be meaningfully engaged at QCi going forward, I believe it is time to pass the baton to the next phase of leadership to take this Company to the next level. Bill and the team are poised to introduce value-creation and cost-effective quantum technologies that will change the market as we know it today. We are fortunate to have the right combination of extraordinary talent with a passion and unwavering commitment to this company to carry us into the future."

Mr. Liscouski intends to use his more than 35 years of national security experience, including his service as the first U.S. Assistant Secretary forInfrastructure Protection of the U.S. Department of Homeland Security, President of Implant Sciences Corporation, Global Director of Information Assurance at the Coca-Cola Company, and a visiting fellow at the Center for Strategic and International Studies in Washington, D.C. to further support the Company's progress in commercializing its highly innovative technology, while providing strategic direction and corporate governance to grow shareholder value. In his role as Chairman, Mr. Liscouski will remain active in guiding the business strategy and direction.

Dr. McGann added, "Bob has tirelessly led the business and accomplished much in his role as CEO and has built a solid foundation for QCi's success. As the new leader, I will leverage these accomplishments and progress to accelerate the Company's growth through the commercialization of our core technologies and continue to innovate and deliver important technologies for a better world consistent with our moto "Quantum Machines for a Brighter Future".

For additional information on the Company's suite of solutions, please visit our websiteor contact our team directly.

About Quantum Computing Inc. (QCi)

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, quantum optics and nanophotonics technology company on a mission to accelerate the value of quantum computing for real-world business solutions, delivering the future of quantum computing, today. The company provides accessible and affordable solutions with real-world industrial applications, using nanophotonic-basedquantum entropy that can be used anywhere and with little to no training, operates at normal room temperatures, low power and is not burdened with unique environmental requirements. QCi is competitively advantaged delivering its quantum solutions at greater speed, accuracy, and security at less cost. QCi's core nanophotonic-based technology is applicable to both quantum computing as well as quantum intelligence, cybersecurity, sensing and imaging solutions, providing QCi with a unique position in the marketplace. QCi's core entropy computing capability, the Dirac series, delivers solutions for both binary and integer-based optimization problems using over 11,000 qubits for binary problems and over 1000 (n=64) qubits for integer-based problems, each of which are the highest number of variables and problem size available in quantum computing today.Using the Company's core quantum methodologies, QCi has developed specific quantum applications for AI, cybersecurity and remote sensing, including its Reservoir Photonic Computer series (intelligence), reprogrammable and non-repeatable Quantum Random Number Generator (cybersecurity) and LiDAR and Vibrometer (sensing) products. For more information about QCi, visitwww.quantumcomputinginc.com.

Important Cautions Regarding Forward-Looking Statements

This press release contains forward-looking statements as defined within Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. By their nature, forward-looking statements and forecasts involve risks and uncertainties because they relate to events and depend on circumstances that will occur in the near future. Those statements include statements regarding the intent, belief or current expectations of QCi and members of its management as well as the assumptions on which such statements are based. Prospective investors are cautioned that any such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, and that actual results may differ materially from those contemplated by such forward-looking statements.

QCi undertakes no obligation to update or revise forward-looking statements to reflect changed conditions. Statements in this press release that are not descriptions of historical facts are forward-looking statements relating to future events, and as such all forward-looking statements are made pursuant to the Securities Litigation Reform Act of 1995. Statements may contain certain forward-looking statements pertaining to future anticipated or projected plans, performance and developments, as well as other statements relating to future operations and results. Words such as "may," "will," "expect," "believe," "anticipate," "estimate," "intends," "goal," "objective," "seek," "attempt," "aim to," or variations of these or similar words, identify forward-looking statements. These risks and uncertainties include, but are not limited to, those described in Item 1A in QCi's Annual Report on Form 10-K and other factors as may periodically be described in QCi's filings with the U.S. Securities and Exchange Commission.

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Quantum Computing Inc. Board of Directors Appoints Dr. William McGann as the Company's CEO and Co-Founder ... - Marketscreener.com

In the world of quantum computing, the spotlight often lands on the hardware: qubits, superconducting circuits, and the like. But its time to shift our focus to the unsung hero of this tale the quantum software, the silent maestro orchestrating the symphony of qubits. From turning abstract quantum algorithms into executable code to optimizing circuit designs, quantum software plays a pivotal role.

Here, well explore the foundations of quantum programming, draw comparisons to classical computing, delve into the role of quantum languages, and forecast the transformational impact of this nascent technology. Welcome to a beginners guide to quantum software a journey to the heart of quantum computing.

At its heart, the world of quantum computing contrasts starkly with that of classical computing. The differences extend beyond hardware to the very core of programming. Lets illuminate some of the primary distinctions that delineate these parallel universes of computing.

Classical computers, the type most of us use daily, operate on binary data. This means they process information in bits, which are either in a state of 0 or 1. Classical programs, thus, revolve around manipulating these bits using logical operations.

Quantum computers, however, function quite differently. They leverage the quirks of quantum physics to process information via qubits. Unlike bits, a qubit can exist in multiple states simultaneously, thanks to a phenomenon called superposition. Additionally, qubits can also be entangled, meaning the state of one qubit can instantaneously affect the state of another, no matter the distance between them.

Therefore, programming a quantum computer necessitates a new approach, new logic, and an entirely new set of programming languages. Quantum software developers do not merely instruct a sequence of operations; they choreograph a dance of qubits, harnessing the peculiar properties of quantum physics to solve complex problems. The beauty of quantum programming lies in its ability to weave a ballet of superpositions and entanglements to achieve solutions exponentially faster than classical computing.

Quantum computing does not replace classical computing. Instead, it complements it, addressing problems that are currently unsolvable with classical computers due to the type of calculation and its complexity. Quantum software, therefore, requires a firm understanding of both classical and quantum principles to effectively leverage the strengths of each and navigate their respective challenges.

Quantum programming demands a unique set of terms to address the building blocks of a quantum program. These terms help us to describe and navigate the multi-dimensional universe of quantum computation. Here, we highlight three of these terms: quantum gates, quantum circuits, and quantum algorithms.

Quantum Gates: Much like classical computers use logical gates (AND, OR, NOT), quantum computers operate with quantum gates. But unlike their classical counterparts, quantum gates are reversible and deal with probabilities. They manipulate the state of qubits to perform quantum operations. A few examples include the Pauli-X, Pauli-Y, Pauli-Z, Hadamard, and CNOT gates.

Quantum Circuits: A sequence of quantum gates forms a quantum circuit. The quantum circuit defines the transformations that the qubits undergo to solve a given problem. However, the circuits behavior is inherently probabilistic due to the nature of quantum physics.

Quantum Algorithms: Quantum algorithms are sequences of quantum circuits designed to perform a specific task or solve a specific problem, much like a sequence of instructions forms a classical algorithm. Some popular quantum algorithms include Shors algorithm for factoring large numbers, and Grovers algorithm for searching unsorted databases. Quantum algorithms exploit the phenomena of superposition and entanglement to outperform classical algorithms for certain problem types.

In the realm of quantum programming, were essentially designing a choreographed sequence that manipulates qubits through these quantum gates, forming quantum circuits to execute quantum algorithms. All this, to solve problems that classical machines find insurmountable.

The world of quantum programming is as diverse as the set of problems it aims to solve. Various quantum programming languages and software platforms have emerged to address different needs, each with its unique approach and strengths. Here, we introduce you to this rich landscape.

Quantum Programming Languages: Just as classical computing has its C++, Python, and Java, quantum computing too has developed its languages. For example, Q# from Microsoft and Qiskit from IBM are two of the most popular quantum programming languages today. They allow you to define and manipulate quantum states, apply quantum gates, and measure the results.

Here we can see qiskit code that creates a quantum register with two qubits and applies a Hadamard gate to the first qubit and a CNOT gate to the two qubits. The code then measures the two qubits.

Software Platforms: Aside from standalone programming languages, there are software platforms designed to aid in quantum development. For instance, our platform at CLASSIQ provides an intuitive, visual way to design quantum circuits and algorithms. It is this high-level abstraction that allows quantum developers, beginners, and experts alike, to harness the power of quantum computing without getting bogged down in the low-level details of gate definitions.

Remember, each tool and language has its strengths, and the choice often depends on the problem youre tackling. Its about choosing the right tool for the right job, much like in the world of classical computing.

While programming a quantum computer can initially seem daunting, a high-level perspective simplifies the task into a series of logical steps. Heres an overview of the general process:

Problem Formulation: The first step in quantum programming is defining the problem you want to solve. This might be optimizing a financial portfolio, simulating a chemical reaction, or breaking an encryption code. Its crucial to understand that not all problems are suited for quantum solutions. Some tasks may be more efficiently handled by classical computers. Therefore, selecting the right kind of problem is a pivotal decision.

Algorithm Selection: Once you have defined the problem, the next step is to choose a quantum algorithm that can solve it. There is a growing library of quantum algorithms, each designed to address a particular type of problem. Some algorithms are well-suited for optimization tasks, while others are designed for simulation or machine learning.

Implementation: With the problem and algorithm in hand, you can now proceed to implementation. This is where quantum programming languages and platforms come into play. You translate the chosen algorithm into quantum code using your selected language or platform. This is often the most technical part of the process, and it can involve complex tasks like designing quantum circuits and managing quantum states.

Execution and Analysis: Finally, you execute your quantum program on a quantum computer or simulator and analyze the results. Since quantum computing is probabilistic, you may need to run your program multiple times to achieve a statistically significant result. The analysis often involves interpreting the quantum results in the context of your original problem.

Just like learning to program in a classical sense, the path to becoming proficient in quantum programming involves practice, patience, and a whole lot of curiosity.

The implications of quantum computing are broad and promising. As we refine our abilities to harness and manipulate quantum phenomena, well witness quantum computers unlocking solutions to some of the worlds most complex and currently unsolvable problems.

Innovation in Multiple Industries: Quantum computing has the potential to revolutionize various industries. Pharmaceutical companies, for example, could use quantum systems to simulate and analyze complex molecular structures, leading to new drug discoveries. The financial sector could leverage quantum algorithms for better risk assessment, portfolio optimization, and fraud detection.

Improved Data Security: The prospect of quantum computers breaking current encryption methods is a cause for concern, yet it also presents an opportunity. As we advance in quantum computing, well simultaneously develop quantum-resistant encryption techniques, creating a new era of data security.

Scientific Discovery: Quantum computing promises to supercharge scientific discovery. In fields such as material science, quantum simulations can facilitate the discovery of new materials with desired properties. In climate science, it could offer more accurate climate predictions by better modeling complex systems.

While these exciting possibilities lie on the horizon, its important to remember that the quantum computing journey has just begun. Its a field ripe for exploration and innovation.

As we transition from theory to practice, from abstraction to application, quantum programming will play an increasingly central role. By learning the principles of quantum programming today, youre not only preparing for a quantum-powered future but actively participating in its creation.

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Mastering the quantum code: A primer on quantum software - SDTimes.com