Editors note: How Quantum Computing Is Already Changing the World was previously published in May 2024. It has since been updated to include the most relevant information available.

Im a history junkie. So, in this Monday issue of Hypergrowth Investing, let me share an interesting story that I bet a lot of you have never heard before.

And interestingly enough, it could be the key to helping you capitalize on the AI Revolution.

Back in October of 1927, the worlds leading scientists descended upon Brussels for the fifthSolvay Conference an exclusive, invite-only conference that is dedicated to discussing and solving the outstanding preeminent open problems in physics and chemistry.

In attendance were scientists that, today, we praise as the brightest minds in the history of mankind.

Albert Einstein was there; so was Erwin Schrodinger, who devised the famous Schrodingers cat experiment, and Werner Heisenberg, the man behind the world-changing Heisenberg uncertainty principle and Louis de Broglie, Max Born, Niels Bohr, Max Planck.

The list goes on and on. Of the 29 scientists who met in Brussels in October 1927, 17 of them went on to win a Nobel Prize.

These are the minds that collectively created the scientific foundation upon which the modern world is built.

And yet, when they all descended upon Brussels nearly 94 years ago, they were stumped by one concept. Its one that, for nearly a century, has remained the elusive key to unlocking humankinds full potential.

And now, for the first time ever, that concept is turning into a disruptive reality through breakthrough technology that will change the world as we know it.

So what exactly were Einstein, Schrodinger, Heisenberg and the rest of those Nobel laureates talking about in Brussels back in 1927?

Quantum mechanics.

Ill start by saying that the underlying physics of this breakthrough quantum mechanics is highly complex. It would likely require over 500 pages to fully understand.

But, alas, heres my best job at making a Cliffs Notes version in 500 words instead.

For centuries, scientists have developed, tested, and validated the laws of the physical world, known as classical mechanics. These scientifically explain how and why things work, where they come from, so on and so forth.

But in 1897, J.J. Thomson discovered the electron. And he unveiled a new, subatomic world of super-small things that didnt obey the laws of classical mechanics at all. Instead, they obeyed their own set of rules, which have since become known as quantum mechanics.

The rules of quantum mechanics differ from that of classical mechanics in two very weird, almost-magical ways.

First, in classical mechanics, objects are in one place at one time. You are either at the store or at home, not both.

But in quantum mechanics, subatomic particles can theoretically exist in multiple places at once before theyre observed. A single subatomic particle can exist in point A and point B at the same time until we observe it. And at that point, it only exists at either point A or point B.

So, the true location of a subatomic particle is some combination of all its possible positions.

This is calledquantumsuperposition.

Second, in classical mechanics, objects can only work with things that are also real. You cant use an imaginary friend to help move the couch. You need a real friend instead.

But in quantum mechanics, all of those probabilistic states of subatomic particles are not independent. Theyre entangled. That is, if we know something about the probabilistic positioning of one subatomic particle, then we know something about the probabilistic positioning of another subatomic particle meaning that these already super-complex particles can actually work together to create a super-complex ecosystem.

This is called quantum entanglement.

So in short, subatomic particles can theoretically have multiple probabilistic states at once, and all those probabilistic states can work together again, all at once to accomplish their task.

And that, in a nutshell, is the scientific breakthrough that stumped Einstein back in the early 1900s.

It goes against everything classical mechanics had taught us about the world. It goes against common sense. But its true. Its real. And now, for the first time ever, we are learninghow to harness this unique phenomenon to change everything about everything

This is why the U.S. government is pushing forward on developing a National Quantum Internet in southwest Chicago. It understands that this tech could be more revolutionary than the discovery of fire or the invention of the wheel.

I couldnt agree more.

Mark my words. Everything will change over the next few years because of quantum mechanics and some investors will make a lot of money.

The study of quantum theory has led to huge advancements over the past century. Thats especially true over the past decade. Scientists at leading tech companies have started to figure out how to harness the power of quantum mechanics to make a new generation of superquantum computers.And theyre infinitely faster and more powerful than even todays fastest supercomputers.

Again, the physics behind quantum computers is highly complex, but heres my shortened version

Todays computers are built on top of the laws of classical mechanics. That is, they store information on what are calledbits, which can store data binarily as either 1 or 0.

But what if you could turn those classical bits into quantum bits qubits to leverage superpositioning to be both 1 and 0 stores at once?

Further, what if you could leverage entanglement and have all multi-state qubits work together to solve computationally taxing problems?

Theoretically, youd create a machine with so much computational power that it would make todays most advanced supercomputers seem ancient.

Thats exactly whats happening today.

Googlehas built a quantum computer that is about158 million times fasterthan the worlds fastest supercomputer.

Thats not hyperbole. Thats a real number.

Imagine the possibilities if we could broadly create a new set of quantum computers that are 158 million times faster than even todays fastest computers

Imagine what AI could do.

Today, AI is already being used to discover and develop new drugs and automate manual labor tasks like cooking, cleaning, and packaging products. It is already being used to write legal briefs, craft ads, create movie scripts, and more.

And thats with AI built on top of classical computers.

But built upon quantum computers computer that are a 158 million times faster than classical computers AI will be able to donearly everything.

The economic opportunities at the convergence of artificial intelligence and quantum computing are truly endless.

Quantum computing is agame-changerthats flying under the radar.

Its not just another breakthrough its the seismic shift weve been waiting for, rivaling the impact of the internet and the discovery of fire itself.

We think the top stocks at the convergence of AI and QC havea realistic opportunity to soar 1,000%over the next few years alone.

So which stocks should you be buying right now? And which should you be selling?

Those are the billion-dollar questions we need to answer now if we want to make big money from top AI stocks in 2024.

Which is why I went public with all the details aboutArea 52

A stretch of land in the midwest where the U.S. government is covertly testing whats set to becomethe worlds first quadrillion-dollar technology.

In this brief presentation, I reveal the reason this technology could revolutionize everything

And how atiny company poised to bring this breakthrough tech mainstream could 79X your investment in the months ahead

On the date of publication, Luke Lango did not have (either directly or indirectly) any positions in the securities mentioned in this article.

P.S. You can stay up to speed with Lukes latest market analysis by reading our Daily Notes! Check out the latest issue on yourInnovation InvestororEarly Stage Investorsubscriber site.

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How Quantum Computing Is Already Changing the World - InvestorPlace

PALO ALTO, Calif., May 29, 2024--(BUSINESS WIRE)--D-Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), a leader in quantum computing systems, software, and services and the worlds first commercial supplier of quantum computers, today announced that it has been featured in a Wall Street Journal article on quantum computing, which highlighted its technologys strengths in tackling real-world optimization problems.

The article, titled "Quantum Computing Gets Real: It Could Even Shorten Your Airport Connection," showcases how recent technological advances are enabling businesses and researchers to explore quantum computing for practical use cases. It specifically notes how D-Wave customers have used its annealing quantum computing technology to address optimization problems including grocery store driver delivery scheduling, cross-country promotional tour routing, and cargo-handling at one of the United States busiest ports. The article also highlights recent research from D-Wave, citing it as an example of a computational supremacy claim that, according to a source interviewed for the article, is "actually the strongest" of all the computational supremacy claims so far.

The story comes as D-Wave continues to be a leader in the commercialization of quantum computing. D-Waves Advantage quantum computer, currently the worlds largest quantum computer (5,000+ qubits), and its Leap real-time quantum cloud service are in market today, helping customers accelerate the adoption and deployment of quantum and hybrid-quantum applications. D-Wave has already taken a customers commercial application into production, meaning its systems are used to facilitate its customers daily operations. D-Wave is also the only company commercially offering annealing quantum computing, which is uniquely suited to solve optimization problems, challenges that are pervasive within commercial enterprises.

"This acknowledgment by The Wall Street Journal of quantums growing relevance and importance reflects what were seeing with our customers a steadily increasing appetite and enthusiasm to harness the power of quantum to solve their most computationally complex problems," said Dr. Alan Baratz, CEO of D-Wave. "We believe there is no other company right now in the world delivering the same level of commercial-grade, production-ready quantum technology as D-Wave. Its an incredibly important moment for the industry, and this recognition of D-Waves leadership is gratifying."

Story continues

About D-Wave Quantum Inc.

D-Wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the worlds first commercial supplier of quantum computersand the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Waves technology has been used by some of the worlds most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jlich, University of Southern California, and Los Alamos National Laboratory.

Forward-Looking Statements

Certain statements in this press release are forward-looking, as defined in the Private Securities Litigation Reform Act of 1995. These statements involve risks, uncertainties, and other factors that may cause actual results to differ materially from the information expressed or implied by these forward-looking statements and may not be indicative of future results. These forward-looking statements are subject to a number of risks and uncertainties, including, among others, various factors beyond managements control, including the risks set forth under the heading "Risk Factors" discussed under the caption "Item 1A. Risk Factors" in Part I of our most recent Annual Report on Form 10-K or any updates discussed under the caption "Item 1A. Risk Factors" in Part II of our Quarterly Reports on Form 10-Q and in our other filings with the SEC. Undue reliance should not be placed on the forward-looking statements in this press release in making an investment decision, which are based on information available to us on the date hereof. We undertake no duty to update this information unless required by law.

View source version on businesswire.com: https://www.businesswire.com/news/home/20240528062466/en/

Contacts

D-Wave Alex Daigle media@dwavesys.com

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D-Wave Quantum Featured in The Wall Street Journal - Yahoo Finance

PALO ALTO, Calif., May 28, 2024 D-Wave Quantum Inc., a leader in quantum computing systems, software, and services and the worlds first commercial supplier of quantum computers, today announced it is set to join the broad-market Russell 3000 Index at the conclusion of the 2024 Russell US Indexes annual Reconstitution, effective at the open of US equity markets on Monday, July 1st, 2024, according to a preliminary list of additions posted on Friday, May 24th, 2024.

The annual Russell US Indexes Reconstitution captures the 4000 largest US stocks as of Tuesday, April 30th, 2024, ranking them by total market capitalization. Membership in the US all-cap Russell 3000 Index, which remains in place for one year, means automatic inclusion in the large-cap Russell 1000 Index or small-cap Russell 2000 Index as well as the appropriate growth and value style indexes. FTSE Russell, a prominent global index provider, determines membership for its Russell indexes primarily by objective, market-capitalization rankings, and style attributes.

Its an honor for D-Wave to join the Russell 3000 Index, an important benchmark for the US stock market, said Dr. Alan Baratz, CEO of D-Wave. This recognition reflects D-Waves leadership in ushering in the era of commercial quantum computing and will greatly increase visibility among the global investor community for the innovative quantum solutions were bringing to market.

Russell indexes are widely used by investment managers and institutional investors for index funds and as benchmarks for active investment strategies. According to the data as of the end of December 2023, about $10.5 trillion in assets are benchmarked against the Russell US indexes, which belong to FTSE Russell.

Russell indexesnow in their 40th yearcontinue to evolve to reflect the dynamic US economy. Annual rebalancing plays a vital role in establishing accurate benchmarks, ensuring they correctly mirror their designated market segments and remain unbiased in terms of size and style, said Fiona Bassett, CEO of FTSE Russell, an LSEG Business.

For more information on the Russell 3000 Index and the Russell indexes Reconstitution, go to the Russell Reconstitution section on the FTSE Russell website.

About D-Wave Quantum Inc.

D-Wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the worlds first commercial supplier of quantum computersand the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Waves technology has been used by some of the worlds most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jlich, University of Southern California, and Los Alamos National Laboratory.

Source: D-Wave

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D-Wave Quantum Set to Join Russell 3000 Index - HPCwire

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Quantum computing software startup Multiverse Computing S.L. said today it has raised 25M (USD $27.1 million) in a new early-stage funding round.

The funds from the oversubscribed Series A round will enable it use emerging quantum computers to try and tackle some of the worlds biggest challenges around artificial intelligence and environmental change.

Todays round was led by Columbus Venture Partners and saw significant contributions from Quantonation Ventures and new investors, including the European Innovation Council Fund, Redstone QAI Quantum Fund and Indi Partners, among other prominent backers.

Multiverse doesnt build quantum computers itself. Rather, it specializes in the development of what it calls quantum-inspired algorithms, which are advanced tensor networks based on the principles of quantum computing. Theyre said to be the most efficient algorithms that can run in todays existing classical computers, and theyre especially suited for industries such as AI, energy, manufacturing, finance, defense and healthcare.

Its main offerings include a product called Singularity, which helps users with no quantum background solve challenges around AI and optimization applications using quantum and quantum-inspired computers. The startup has also built a product called CompactifAI, which is designed to compress large language models using quantum-inspired tensor networks in order to reduce their size by up to 80% without affecting their performance. Its a promising development because LLMs are what sit at the heart of powerful generative AI applications such as ChatGPT.

With respect to LLMs, the company says their growing power is going to be a big problem, since the computational costs of such workloads are exploding. Its estimated that the costs of training the most powerful LLMs available today can exceed $100 million, yet were still only at the dawn of the nascent generative AI industry.

As a result, the company said, LLM training costs will likely double every 10 months. Such costs are unsustainable, and unless a new technological paradigm is introduced, the AI industry will consume intolerable amounts of energy and money.

This is where Multiverses CompactifAI can make a difference. Its uniquely able to compact AI models using Tensorized networks that have been shown to train LLMs faster and at much lower costs, with early studies showing it has achieved accelerations of up to 1,000 times.

According to the startup, by tensorizing LLMs it can locate the most relevant and also the not-so-relevant parts of any model and compress them in order to significantly reduce its size, without compromising performance. This is key, not only from the perspective of saving costs, but also in terms of practicality. For instance, the enormous resources required by LLMs make them impossible to deploy at the edge, limiting their usefulness in autonomous vehicles, for example.

Multiverses quantum software can also accelerate other AI applications, such as computer vision in manufacturing, localized weather forecasting, anomaly detection in cybersecurity, AI-based trading and AI-based protein design.

The startup has also developed an intriguing LLM Lobotomizer, which is designed to help trained LLMs forget undesirable information they have learned. Believe it or not, this is presently very difficult to do, and it can cause problems such as toxic AI or AI hallucinations, which is when AI generates fake responses. The best method for helping LLMs forget something theyve learned is to use post-training filters, but studies show that these arent always effective.

In addition, Multiverse said, its quantum and quantum-inspired software algorithms also have great potential in terms of environmental sustainability, helping to solve difficulties around electrical distribution in renewable energies, battery design, hydrogen production and more.

Multiverses advances in these areas are the reason why it was recently named as one of the worlds most promising 100 AI companies by CB Insights.

Singularity has made the benefits of quantum and quantum-inspired computing more accessible to industry, and we will continue diversifying its applications, said Roman Orus, chief scientific officer at Multiverse.

Multiverse explains quantum-inspired algorithms can outperform classical computers in many complex tasks, and for that reason they have the potential to solve many currently intractable challenges that will never be overcome using traditional methods. Its for this reason that McKinsey & Co. estimates quantum technology could deliver up to $1.3 trillion in value over the next decade, as it matures.

Javier Garcia, a partner at Columbus Venture Partners, said Multiverse is poised to deliver groundbreaking solutions in areas such as AI, life sciences and biotechnology. Columbus Venture Partners will help to identify unmet market needs and high-profile industrial partners, he added.

The startup said the funding from todays round will help it to accelerate the development of its quantum-inspired algorithms and support its global expansion, with a particular focus on the U.S.

THANK YOU

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Multiverse Computing raises 25M to deliver more efficient LLMs using quantum-inspired algorithms - SiliconANGLE News

The 2023 FIDE Open World Rapid & Blitz Championships kick off Dec. 25 and run through Dec. 31 in Samarkand, Uzbekistan. First up is the rapid tournament, and Norwegian chess legend Magnus Carlsen will compete.

The format is 15 minutes plus 10 seconds increment per move, starting from the first move. The 13-round tournament will use the Swiss system. The prize fund is $350,000.

More than 200 players will compete, with most of the games top grandmasters registered.

There will be a five-minute broadcast delay for the rapid tournament as an anti-cheating measure.

Carlsen, the worlds best chess player since 2010, is the betting favorite in every tournament he plays. Below are the current and opening odds for each participant with a line.

Source: Bwin Sportsbook. Current as of Dec. 22. Subject to change.

Carlsen won the event four of the last 10 times it was held, including two of the last three, in addition to a runner-up performance (2012) and two third places (2016 and 2021).

His opening +175 odds carried an implied probability of 36.4%, a fair price considering he took first in 40% of the last 10 runnings. His current odds of +100 are far less appealing but still probably the best moneyline bet available.

Carlsens 2023 in classical chess (longer time controls) has been the weakest of his career since becoming the worlds highest-rated player in 2010. Carlsen often says hes less interested in classical chess. He vacated his world championship title earlier this year.

Of course, this is a rapid event. Carlsen won a rapid tournament in Toronto earlier this month.

Carlsens top rivals, Americans Hikaru Nakamura and Fabiano Caruana, were not yet confirmed as entrants when opening odds were posted. Caruana decided to play, while Nakamura skipped the World Rapid Championship.

A playable long-shot bet is Nodirbek Abdusattorov of Uzbekistan (+2000). The 19-year-old won the event in 2021, defeating Carlen en route to his stunning underdog victory. The tournament is in his home country, so he might benefit from a lack of long-distance travel. Abdusattorov has had a steady but unspectacular 2023 in terms of classical rating.

Daniil Dubov, the 2018 champion, could also be worth a long-shot play at +5000.

You could bet Carlsen and hedge with a smaller wager on a long shot who has demonstrated the ability to win the World Rapid Championship.

Vincent Keymer, the 19-year-old German who was last years runner-up to Carlsen, doesnt have odds. Betting on him would come with the any player not listed option. The +600 odds are interesting, considering youd also get super talented young players like Parham Maghsoodloo, Javokhir Sindarov and Hans Niemann, who have all been on fire in recent months. Recent performances by Abdusattorov, Dubov, Keymer and Alireza Firouzja perhaps show that younger players have better chances in this event than older ones.

Still, its Carlsens event to lose.

Photo by Waleed Zein/Anadolu Agency via Getty Images

Excerpt from:

Magnus Carlsen Has 50% Chance to Win Rapid Chess Championship, Per Sportsbook - Forbes