Join Transform 2021 this July 12-16. Register for the AI event of the year.

Cambridge Quantum Computing (CQC) hiring Stephen Clark as head of AI last week could be a sign the company is boosting research into ways quantum computing could be used for natural language processing.

Quantum computing is still in its infancy but promises such significant results that dozens of companies are pursuing new quantum architectures. Researchers at technology giants such as IBM, Google, and Honeywell are making measured progress on demonstrating quantum supremacy for narrowly defined problems. Quantum computers with 50-100 qubits may be able to perform tasks that surpass the capabilities of todays classical digital computers, but noise in quantum gates will limit the size of quantum circuits that can be executed reliably, California Institute of Technology theoretical physics professor John Preskill wrote in a recent paper. We may feel confident that quantum technology will have a substantial impact on society in the decades ahead, but we cannot be nearly so confident about the commercial potential of quantum technology in the near term, say the next 5 to 10 years.

CQC has been selling software focused on specific use cases, such as in cybersecurity and pharmaceutical and drug delivery, as the hardware becomes available. We are very different from the other quantum software companies that we are aware of, which are primarily focused on consulting-based revenues, CQC CEO Ilyas Khan told VentureBeat.

For example, amid concerns that improvements in quantum hardware will make it easier to break existing algorithms used in modern cryptography, CQC devised a method to generate quantum-resistant cryptographic keys that cannot be cracked by todays methods. CQC partners with pharmaceutical and drug discovery companies to develop quantum algorithms for improving material discovery, such as working with Roche on drug development, Total on new materials for carbon capture and storage solutions, and CrownBio for novel cancer treatment biomarker discovery.

The addition of Clark to CQCs team signals the company will be shifting some of its research and development efforts toward quantum natural language processing (QNLP). Humans are good at composing meanings, but this process is not well understood. Recent research established that quantum computers, even with their current limitations, could learn to reason with the uncertainty that is part of real-world scenarios.

We do not know how we compose meaning, and therefore we have not been sure how this process can be carried over to machines/computers, Khan said.

QNLP could enable grammar-aware representation of language that makes sense of text at a deeper level than is currently available with state-of-the-art NLP algorithms like Bert and GPT 3.0. The company has already demonstrated some early success in representing and processing text using quantum computers, suggesting that QNLP is within reach.

Clark was previously senior staff research scientist at DeepMind and led a team working on grounded language learning in virtual environments. He has a long history with CQC chief scientist Bob Coecke, with whom he collaborated 15 years ago to devise a novel approach for processing language. That research stalled due to the limitations of classical computers. Quantum computing could help address these bottlenecks, and there are plans to continue that research program, Clark said in a statement.

The methods we developed to demonstrate this could improve a broad range of applications where reasoning in complex systems and quantifying uncertainty are crucial, including medical diagnoses, fault-detection in mission-critical machines, and financial forecasting for investment management, Khan said.

Continued here:

Cambridge Quantum pushes into NLP and quantum computing with new head of AI - VentureBeat

What youll learn:

A couple examples from history highlight our failure to secure the technology thats playing an increasingly larger role in both our personal lives and business. When computers were first connected to the internet, we had no idea of the Pandoras Box that was being opened, and cybersecurity wasnt even considered a thing. We failed to learn our lesson when mobile phones exploded onto the world and again with IoT still making fast to market more important than security. This has constantly left cybersecurity behind the 8 ball in the ongoing effort to secure data.

As we race to quantum computing, well see another, and perhaps the greatest, fundamental shift in the way computing is done. Quantum computers promise to deliver an increase in computing power that could spur enormous breakthroughs in disease research, understanding global climate, and delving into the origins of the universe.

As a result, the goal to further advance quantum-computing research has rightfully attracted a lot of attention and funding including $625 million from the U.S. government.1 However, it also will make many of our trusted security techniques inadequate, enabling encryption to be broken in minutes or hours instead of the thousands of years it currently takes.

Two important algorithms that serve as a basis for security of most commonly utilized public-key algorithms today will be broken by quantum computers:

As we prepare for a post-quantum world, we have another opportunity to get security right. The challenge of replacing the existing public-key cryptography in these applications with quantum-computer-resistant cryptography is going to be formidable.

Todays state-of-the-art quantum computers are so limited that while they can break toy examples, they dont endanger commercially used key sizes (such as specified in NIST SP800-57). However, most experts agree its only a matter of time until quantum computers evolve to the point of being able to break todays cryptography.

Cryptographers around the world have been studying the issue of post-quantum cryptography (PQC), and NIST has started a standardization process. However, even though were likely five to 10 years away from quantum computers becoming widely available, were approaching what can be described as the event horizon.

Data that has been cryptographically protected by quantum-broken algorithms up to Day 0 of the PQC deployment will likely need to remain secure for years decades in some cases after quantum computers are in use. This is known as Moscas Theorem (see figure).

%{[ data-embed-type="image" data-embed-id="6081ce0f2f5c1329008b4613" data-embed-element="span" data-embed-size="640w" data-embed-alt="Illustration of a bad outcome under Mosca’s Theorem, where a quantum adversary can break the security requirements for recorded messages. The adversary could, for example, break the encryption on a recorded message or alter a legal document and generate a fake signature indistinguishable from a valid signature." data-embed-src="https://img.electronicdesign.com/files/base/ebm/electronicdesign/image/2021/04/PQC_Event_Horizon_Figure_1.6081ce0f24f07.png?auto=format&fit=max&w=1440" data-embed-caption="Illustration of a bad outcome under Moscas Theorem, where a quantum adversary can break the security requirements for recorded messages. The adversary could, for example, break the encryption on a recorded message or alter a legal document and generate a fake signature indistinguishable from a valid signature." ]}%

Deploying any secure solution takes time. Given the inherent longer development time of chips compared to software, chip-based security becomes even more pressing. Throw in the added challenge that PQC depends on entirely new algorithms, and our ability to protect against quantum computers will take many years to deploy. All this adds up to make PQC a moving target.

The good news is that, and I take heart in this, we seem to have learned from previous mistakes, and NISTs PQC standardization process is working. The effort has been underway for more than four years and has narrowed entrants from 69 to seven (four in the category of public-key encryption and three in the category of digital signatures) over three rounds.

However, in late January 2021, NIST started reevaluating a couple of the current finalists and is considering adding new entries as well as some of the candidates from the stand-by list. As mentioned previously, addressing PQC isnt an incremental step. Were learning as we go, which makes it difficult to know what you dont know.

The current finalists were heavily skewed toward a lattice-based scheme. What the potential new direction by NIST indicates is that as the community has continued studying the algorithms, lattice-based schemes may not be the holy grail we first had hoped.

Someone outside the industry may look at that as a failure, but I would argue thats an incorrect conclusion. Only by trial and error, facing failure and course correcting along the way, can we hope to develop effective PQC algorithms before quantum computers open another, potentially worse cybersecurity Pandoras box. If we fail to secure it, we risk more catastrophic security vulnerabilities than weve ever seen: Aggressors could cripple governments, economies, hospitals, and other critical infrastructure in a matter of hours.

While its old hat to say, Its time the world took notice of security and give it a seat at the table, the time to deliver on that sentiment is now.

Reference

1. Reuters, U.S. to spend $625 million in five quantum information research hubs

Continued here:

Are We Doomed to Repeat History? The Looming Quantum Computer Event Horizon - Electronic Design

When it comes to practical problems, including things such as the traveling salesman problem, a classic in optimization, the value of quantum is still to be decided, say Richard Moulds, left, head of Amazon's Braket quantum computing service, and Robert Liscouski, head of Quantum Computing Inc., which makes Qatalyst software to do optimization on both classical and quantum machines.

It's easy to imagine a problem for which, if one had a computer that magically leapt across steps of the computation, your life would be much better.

Say, for example, a computer that auto-magically searches through a vast space of possible solutions much faster than you can with a CPU or GPU.

That's the premise of quantum computing, and surprisingly, for all the hype, it's not clear if that premise is true.

"I don't think we've seen any evidence yet that a quantum machine can do anything that's commercially interesting faster or cheaper than a classical machine," Richard Moulds, head of Amazon Braket, the cloud giant's quantum computing service, said in an interview with ZDNet. "The industry is waiting for that to arrive."

It is the question of the "quantum advantage," the notion that the entangled quantum states in a quantum computer will perform better on a given workload than an electronic system.

"We haven't seen it yet," Robert Liscouski, CEO of Quantum Computing Inc, said of the quantum advantage, in the same Zoom interview with Moulds.

That aporia, the as-yet-unproven quantum advantage, is in fact the premise for a partnership announced this month, whereby QCI's Qatalyst software program will run as a cloud service on top of Braket.

QCI's corporate tag line is "ready-to-run quantum software," and the Qatalyst program is meant to dramatically simplify sending a computing task to the qubits of a quantum hardware machine, the quantum processing units, or QPUs, multiple instances of which are offered through Bracket, including D::Wave, IonQ, and Rigetti.

The idea is to get more people working with quantum machines precisely to find out what they might be good for.

"Our platform basically allows the democratization of quantum computing to extend to the user community," said Liscouski.

"If you look back on the quantum industry since it started, it's traditionally been very difficult to get access to quantum hardware," said Moulds, including some machines that are "totally unavailable unless you have a personal relationship with the the physicist that built it."

"We're trying to make it easy for everyone to have access to the same machinery; it shouldn't be those that have and those that have not, it should be everyone on the same flywheel," he said.

The spectrum of users who will be working with quantum comprise "two important communities" today, said Moulds, those that want to twiddle qubits at the hardware level, and those that want to spend time on particular problems in order to see if they actually gain any benefit when exposed to the quantum hardware.

"There's a lot of researchers focused on building better hardware, that is the defining force in this industry," said Moulds. "Those types of researchers need to be in the weeds, playing at the qubit level, tweaking the frequencies of the pulses sent to the chip inside the fridge."

On the other hand, "the other class of users is much more geared to Robert's view of the world: they don't really care how it gets done, they just want to understand how to program their problem so that it can be most easily solved."

That second class of users are "all about abstraction, all about getting away from the technology." As quantum evolves, "maybe it slides under so that customers don't even know it's there," mused Moulds.

When it comes to those practical problems, the value of quantum is still to be decided.

There has been academic work showing quantum can speed up tasks, but "that's not been applied to a problem that anybody cares about," said Moulds.

The entire quantum industry is "still finding its way to what applications are really useful," he said. "You tend to see this list of potential applications, a heralded era of quantum computing, but I don't think we really know," he said.

The Qatalyst software from QCI focuses on the kinds of problems that are of perennial interest, generally in the category of optimization, particularly constrained optimization, where a solution to a given loss function or objective function is made more complicated by having to narrow the solution to a bunch of variables that have a constraint of some sort enforced, such as bounded values.

"They are described at a high level as the traveling salesman problem, where you have multi-variate sort of outcomes," said Liscouski. "But it's supply-chain logistics, it's inventory management, it's scheduling, it's things that businesses do today that quantum can really accelerate the outcomes in the very near future."

Such problems are "a very important use case," said Moulds. Quantum computers are "potentially good at narrowing the field in problem spaces, searching through large potential combinations in a wide variety of optimization problems," he said.

However, "classical will probably give you the better result" at this time, said Liscouski.

One of the reasons quantum advantage is not yet certain is because the deep phenomena at the heart of the discipline, things such as entanglement, make the field much more complex than early digital computing.

"A lot of people draw the analogy between where we are and the emergence of the transistor," said Moulds.

"I think that's not true: this is not just a case of making the computers we have today smaller and faster and cheaper, we're not anywhere near that regime, that Moore's Law notion of just scaling these things up."

"There's fundamental scientific discoveries that have to be made to build machines that can tackle these sorts of problems on the grand scale that we've been talking about."

Beyond the machines' evolution, there is an evolution implicit for programmers. Quantum brings a fundamentally different approach to programming. "These are physics-based machines, they're not just computational engines that add ones and zeros together, it's not just a faster slide rule," said Moulds.

That different way of programming may, in fact, point the way to some near-term payoff for the Qatalyst software, and Braket. Both Liscouski and Moulds expressed enthusiasm for taking lessons learned from quantum and back-loading them into classical computers.

"Typically, access to quantum computing is through toolkits and resources that require some pretty sophisticated capabilities to program to ultimately get to some result that involves a quantum computer," observed Liscouski.

"With Braket, the platform provides both access to QPUs and classical computing at the same time, and the quantum techniques that we use in the platform will get results for both," said Liscouski.

"It isn't necessarily a black and white decision between quantum and classical," said Moulds. "There's an emerging area, particularly in the area of optimization, people use the term quantum-inspired approaches are used."

"What that means is, looking at the ways that quantum computers actually work and applying that as a new class of algorithms that run on classical machines," he said.

"So, there's a sort of a morphing going on," he said.

An advantage to working with QCI, said Moulds, is that "they bring domain expertise that we don't have," things such as the optimization expertise.

"We've coined the phrase, 'Build on Braket'," said Moulds. "We're trying to build a quantum platform, and we look to companies like QCI to bring domain expertise to use that platform and apply it to problems that customers have really got."

Also important is operational stability and reliability, said Moulds. For a first-tier Web service with tons of users, the priority for Amazon is "running a professional service, a platform that is reliable and secure and durable" on which companies can "build businesses and solve problems."

Although there are "experimental" aspects, he said, "this is not intended to be a best-effort showcase."

Although the quantum advantage is not certain, Moulds holds out the possibility someone working with the technology will find it, perhaps even someone working on Braket.

"The only way we can move this industry forward is by pulling the curtains apart and giving folks the chance to actually see what's real," he said.

"And, boy, the day we see a quantum computer doing something that is materially advantageous from a commercial point of view, you will not miss that moment, I guarantee."

Originally posted here:

Quantum: It's still not clear what its good for, but Amazon and QCI will help developers find out - ZDNet

zapp2photo - stock.adobe.com

Published: 22 Apr 2021 7:07

Australia and India have joined hands to advance the development of critical and emerging technologies such as artificial intelligence (AI), 5G networks, the internet of things (IoT) and quantum computing through a research grant programme.

Through the programme, the two countries hope to help shape a global technology environment that meets Australia and Indias shared vision of an open, free, rules-based Indo-Pacific region.

The first three projects in the initial round of the programme, which prioritised proposals focused on strengthening understanding of ethical frameworks and developing technical standards for critical technologies, were recently announced by Australias department of foreign Affairs and trade.

This project, led by the Centre for International Security Studies at the University of Sydney and experts such as Rajeshwari Rajagopalan of the Delhi-based Observer Research Foundation and quantum physicist Shohini Ghose, aims to develop quantum accords to shape international governance of quantum technologies.

The team will build guiding principles on ethics, best practices and progressive applications of quantum technologies.

But rather than propose a formal set of universal rules, they will seek consensus among key stakeholders on what constitutes ethical or unethical behaviour, good or bad practices, productive or destructive applications for emerging quantum technologies.

The project, spearheaded by La Trobe University and Indian Institute of Technology Kampur, will provide Australian and Indian business with an ethics and policy framework when outsourcing their technology to Indian providers.

It will do by improving the understanding of how they translate being signatories of ethical codes to their actual practice. The project will also analyse the emotions and views of stakeholders expressed in social media on the ethical issues found to be important through business surveys.

In doing so, the project intends to advance knowledge in AI and cyber and critical technology, ethics and sustainability and risk by bringing together disciplines in business management and ethics, computer science and engineering, and AI and business analytics.

The outcomes expected include recommendations on revised ethical codes and practices and a framework for using AI and advanced analytics to review ethical practices of companies.

The explosive growth in wireless network usage and IoT systems is expected to accelerate. While 5G networks offer significant improvements in terms of capacity, data rates, and potential energy efficiency, there is a need to address critical privacy and security challenges.

The work will focus on the issues that arise from wireless tracking systems that rely on detecting variations in the channel state information (CSI) due to the users physical activities and wireless networking.

Based on a series of experiments in Australia and India, the project will develop a comprehensive understanding of the extent of private information and metadata exposed and related inferences. This will be used to engage with standards and regulatory agencies and government bodies to strengthen data protection regimes in Australia, India and globally.

The research will be the basis for a whitepaper detailing the emerging wireless network privacy and security threat landscape. This will be followed up with a workshop in Bangalore with key regulators, standards body officials, policy makers and researchers, with the goal of initiating action to effectively address the emerging threats.

The work will be led the University of Sydney, University of New South Wales, Orbit Australia, Reliance Jio Infocomm, Indian Institute of Technology Madras and Calligo Technologies.

The automation of the financial software that lies at the heart of any business & accountancy, budget management, general ledger, payroll, and so on & is a prize many organisations are eyeing up, with machine learning and robotic process automation close to mind. Find out everything you need to know by downloading this PDF E-Guide.

See original here:

Australia and India team up on critical technology - ComputerWeekly.com

After a year in which scientists raced to understand Covid-19 and to develop treatments and vaccines to stop its spread, Cleveland Clinic is partnering with IBM to use next-generation technologies to advance healthcare research and potentially prevent the next public health crisis.

The two organizations on Tuesday announced the creation of the "Discovery Accelerator," which will apply technologies such as quantum computing and artificial intelligence to pressing life sciences research questions. As part of the partnership, Cleveland Clinic will become the first private-sector institution to buy and operate an on-site IBM quantum computer, called the Q System One. Currently, such machines only exist in IBM labs and data centers.

Quantum computing is expected to expedite the rate of discovery and help tackle problems with which existing computers struggle.

The accelerator is part of Cleveland Clinic's new Global Center for Pathogen Research & Human Health, a facility introduced in January on the heels of a $500 million investment by the clinic, the state of Ohio and economic development nonprofit JobsOhio to spur innovation in the Cleveland area.

The new center is dedicated to researching and developing treatments for viruses and other disease-causing organisms. That will include some research on Covid-19, including why it causes ongoing symptoms (also called "long Covid") for some who have been infected.

"Covid-19 is an example" of how the center and its new technologies will be used, said Dr. Lara Jehi, chief research information officer at the Cleveland Clinic.

"But ... what we want is to prevent the next Covid-19," Jehi told CNN Business. "Or if it happens, to be ready for it so that we don't have to, as a country, put everything on hold and put all of our resources into just treating this emergency. We want to be proactive and not reactive."

Quantum computers process information in a fundamentally different way from regular computers, so they will be able to solve problems that today's computers can't. They can, for example, test multiple solutions to a problem at once, making it possible to come up with an answer in a fraction of the time it would take a different machine.

Applied to healthcare research, that capability is expected to be useful for modeling molecules and how they interact, which could accelerate the development of new pharmaceuticals. Quantum computers could also improve genetic sequencing to help with cancer research, and design more efficient, effective clinical trials for new drugs, Jehi said.

Ultimately, Cleveland Clinic and IBM expect that applying quantum and other advanced technologies to healthcare research will speed up the rate of discovery and product development. Currently, the average time from scientific discovery in a lab to getting a drug to a patient is around 17 years, according to the National Institutes of Health.

"We really need to accelerate," Jehi said. "What we learned with the Covid-19 pandemic is that we cannot afford, as a human race, to just drop everything and focus on one emergency at a time."

Part of the problem: It takes a long time to process and analyze the massive amount of data generated by healthcare, research and trials something that AI, quantum computing and high-performance computing (a more powerful version of traditional computing) can help with. Quantum computers do that by "simulating the world," said Dario Gil, director of IBM Research.

"Instead of conducting physical experiments, you're conducting them virtually, and because you're doing them virtually through computers, it's much faster," Gil said.

For IBM, the partnership represents an important proof point for commercial applications of quantum computing. IBM currently offers access to quantum computers via the cloud to 134 institutions, including Goldman Sachs and Daimler, but building a dedicated machine on-site for one organization is a big step forward.

"What we're seeing is the emergency of quantum as a new industry within the world of information technology and computing," Gil said. "What we're seeing here in the context of Cleveland Clinic is ... a partner that says, 'I want the entire capacity of a full quantum computer to be [dedicated] to my research mission."

The partnership also includes a training element that will help educate people on how to use quantum computing for research which is likely to further grow the ecosystem around the new technology.

Cleveland Clinic and IBM declined to detail the cost of the quantum system being installed on the clinic's campus, but representatives from both organizations called it a "significant investment." Quantum computers are complex machines to build and maintain because they must be stored at extremely cold temperatures (think: 200 times colder than outer space).

The Cleveland Clinic will start by using IBM's quantum computing cloud offering while waiting for its on-premises machine to be built, which is expected to take about a year. IBM plans to later install at the clinic a more advanced version of its quantum computer once it is developed in the coming years.

Jehi, the Cleveland Clinic research lead, acknowledged that quantum computing technology is still nascent, but said the organization wanted to get in on the ground floor.

"It naturally needs nurturing and growing so that we can figure out what are its applications in healthcare," Jehi said. "It was important to us that we design those applications and we learn them ourselves, rather than waiting for others to develop them."

Continue reading here:

Cleveland Clinic and IBM hope their tech partnership could help prevent the next pandemic - WTHITV.com

Synopsys, one of the largest vendors of electronic-design-automation (EDA) software, rolled out a unified suite of simulation software that promises to speed up the design of systems-on-a-chip (SoCs), systems-in-package (SiPs), and memory chips for use in data centers, 5G, automotive, artificial intelligence (AI), and other areas.

Today, the most advanced chips have billions of transistors, but it is impossible for engineers to verify by hand every single facet of the chip before it is manufactured. Failure to accurately test the blueprint of a chip for mistakes can drag out the development process and raise the possibility of a premature failure in the device in the future, which can damage a companys reputation.

"EDA is the unknown soldier of the semiconductor design process," said Hany Elhak, who handles product management and marketing for the custom IC and physical verification group at Synopsys. But as chips have become vastly more complicated in recent years, circuit simulation software has become an indispensable part of every engineer's toolbox (Fig.1).

%{[ data-embed-type="image" data-embed-id="607e0705a6ade9d3368b48e2" data-embed-element="span" data-embed-size="640w" data-embed-alt="Synopsys Spice 1" data-embed-src="https://img.electronicdesign.com/files/base/ebm/electronicdesign/image/2021/04/Synopsys_SPICE_1.607e07043ac08.png?auto=format&fit=max&w=1440" data-embed-caption="" data-embed-credit="Figure 1. (Image courtesy of Synopsys)." ]}%

Synopsys sells software tools based on the industry-standard SPICE simulation technology. SPICE is used to create a computer model of an analog or other electronic circuit and put it through its paces to test whether it works as intended. SPICE can also be used to identify potential areas for improvement and test planned changes to the design without being forced to prototype it.

But when it comes to SoCs or SiPs consisting of memory, analog, radio frequency (RF), digital, and other blocks of intellectual property (IP) on the same silicon die or package, vendors have had to use differentdesign and verification tools for every part of the IC. But according to Synopsys, these disparate tools are not cut out for huge amount of complexity in modern chips.

The electronic design software giant said that it integrated all its simulation software into a single solution, PrimeSim Continuum, aimed at analog, mixed-signal, RF, and custom digital memory designs. The all-in-one system allows its customers to mix and match different simulation engines (Fig. 2) to simulate different parts of the SoC and run them all from the same environment.

%{[ data-embed-type="image" data-embed-id="607e0705fdc914194c8b48ad" data-embed-element="span" data-embed-size="640w" data-embed-alt="Synopsys Spice 2" data-embed-src="https://img.electronicdesign.com/files/base/ebm/electronicdesign/image/2021/04/Synopsys_SPICE_2.607e0704491ac.png?auto=format&fit=max&w=1440" data-embed-caption="" data-embed-credit="Figure 2. (Image courtesy of Synopsys)." ]}%

To boost productivity, Synopsys said it enhanced the SPICE and FastSPICE architectures at the heart of the software, giving it the speed and capacity to test semiconductor designs up to 10 times faster than previously without giving up the accuracy of the analysis. Synopsys said PrimeSim Continuum can shorten the time it takes to bring products to market and, in turn, reduce costs.

As the semiconductor industry crams more and more transistors on tiny squares of silicon, Synopsys is trying to keep up with the needs of chip vendors with faster and more accurate simulation software.

Synopsys said more of its customers are bringing power management ICs, radio frequency ICs, and other analog chips previously slapped on the circuit board (PCB) in a smartphone or other device on the same slice of silicon as the CPU, I/O and memory. These increasingly heterogeneous SoCs are also housing larger slices of embedded memory and faster I/O. (Fig. 3).

%{[ data-embed-type="image" data-embed-id="607e07058f14e6da168b45b1" data-embed-element="span" data-embed-size="640w" data-embed-alt="Synopsys Spice 6" data-embed-src="https://img.electronicdesign.com/files/base/ebm/electronicdesign/image/2021/04/Synopsys_SPICE_6.607e07044c9ce.png?auto=format&fit=max&w=1440" data-embed-caption="" data-embed-credit="Figure 3. (Image courtesy of Synopsys)." ]}%

Another problem on the semiconductor industrys plate is increased parasiticsor unwanted resistance, inductance, or capacitance in electronic circuitsas these types of chips scale to smaller and smaller nodes. The analog parts of the IC are also more vulnerable to variations that occur as a result of the IC production process. These slight aberrations can cause bugs or a complete failure of the IC in the future, adding to the challenges of verification.

Instead of loading all the different components of a smartphone or other device on a single die, other vendors are rolling out chips based on a system-in-package, or SiP, approach. That opens the door for vendors to create many different chips based on different nodes and then seal them all up together to wring out more performance, reduce power, or add new features.

"It is both scale complexity and system complexity that have been increasing," Elhak said. "You need to simulate not only the chip itself but at the same time all its interactions with other chips in the package," he added. The result in more simulations with longer runtimes and higher levels of accuracy to weed out potential weaknesses in the blueprint of the chip.

Synopsys said its latest solution brings together a wide range of different simulation engines in a single environment that is engineered for ease of use and improved productivity (Fig. 4).

%{[ data-embed-type="image" data-embed-id="607e07053903c565168b4598" data-embed-element="span" data-embed-size="640w" data-embed-alt="Synopsys Spice 5" data-embed-src="https://img.electronicdesign.com/files/base/ebm/electronicdesign/image/2021/04/Synopsys_SPICE_5.607e07043bf6e.png?auto=format&fit=max&w=1440" data-embed-caption="" data-embed-credit="Figure 4. (Image courtesy of Synopsys)." ]}%

The all-in-one solution includes its PrimeSim SPICE technology for analog, radio frequency, and digital verification; PrimeSim HSPICE, its gold-standard signoff software for foundation IP as well as signal and power integrity; PrimeSim XA, a FastSPICE tool for mixed-signal and SRAM designs; and PrimeSim Pro, its latest FastSPICE architecture for DRAM and flash-memory chips. Linking them all together is PrimeWave, its new design environment.

"All of these engines are combined in a single, unified solution," Elhak said. "We allow you to use the right engine for any of the technologies you are verifying. Synopsys said PrimeSim is one of the cornerstones of its custom design platform, and it is also integrated with its suite of verification software so that customers can resolve problems that turn up in PrimeSim.

Synopsys said the tools are currently being used by Samsung Electronics, NVIDIA, and other early-access customers. The company's major rivals are EDA heavyweights Cadence Design Systems and Siemens EDA.

%{[ data-embed-type="image" data-embed-id="607e0705a6ade973668b4783" data-embed-element="span" data-embed-size="640w" data-embed-alt="Synopsys Spice 3" data-embed-src="https://img.electronicdesign.com/files/base/ebm/electronicdesign/image/2021/04/Synopsys_SPICE_3.607e07044e582.png?auto=format&fit=max&w=1440" data-embed-caption="" data-embed-credit="Figure 5. (Image courtesy of Synopsys)." ]}%

EDA software uses huge amounts of computational horsepower, and semiconductor giants maintain colossal data centers or rent out computing power over the cloud to run them. But creating computer models of electronic circuits with millions to billions of elements and then testing them all out can take a day or more. SPICE is the bottleneck for signing off any large chip design, Elhak warned.

Today, semiconductor firms run thousands of simulations on the most intricately-designed chips before sending the final blueprint to a foundry to be manufactured. That further drags out the chip design process.

Synopsys is trying to solve the speed bottleneck with its state-of-the-art SPICE architecture. The company said that it delivers up to three times faster performance for analog, memory, RF, and other IC designs byscaling to more CPU cores. Synopsys said it can wring out up to 10 times more performance by taking advantage of accelerated computing on NVIDIA GPUs, without giving up accuracy (Fig. 5).

%{[ data-embed-type="image" data-embed-id="607e0705a6ade97d668b476b" data-embed-element="span" data-embed-size="640w" data-embed-alt="Synopsys Spice 4" data-embed-src="https://img.electronicdesign.com/files/base/ebm/electronicdesign/image/2021/04/Synopsys_SPICE_4.607e070441218.png?auto=format&fit=max&w=1440" data-embed-caption="" data-embed-credit="Figure 6. (Image courtesy of Synopsys)." ]}%

"As modern compute workloads evolve, the scale and complexity of analog IC designs have moved beyond the capacity of traditional circuit simulators," said Edward Lee, vice president of mixed-signal design at NVIDIA, in a statement. He said that the improvements in PrimeSim SPICE shortens the time it takes to carry out verification on analog ICs from days to hours.

Synopsys said it upgraded its underlying FastSPICE architecture to model more advanced 3D DRAMincluding high-bandwidth memory (HBM) used in data centersand flash-memory chip designs. The PrimeSim Pro tool uses advanced partitioning and modeling technologies to split simulations into more manageable parts, promising two to five times the speed of other solutions on the market (Fig. 6).

"Relentless technology scaling and innovations around DRAM architecture have resulted in larger and more complex memory designs requiring higher simulation performance and capacity," said Jung Yun Choi, corporate vice president of memory design technology at Samsung. He added that PrimeSim Pro could "keep pace with the capacity needs of our advanced memory designsand allow us to meet our aggressive time-to-results targets."

Synopsys said PrimeSim XA, PrimeSim HSPICE, PrimeSim SPICE, and PrimeSim Pro are all supported by leading foundries, including TSMC and Samsung, on advanced process nodes.

See the article here:

Synopsys Rolls Out All-in-One Tool to Speed Up IC Simulation - Electronic Design

Quantum Computing Market is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and geographical analysis. This analysis provides an examination of various market segments that are relied upon to observe the fastest development amid the estimated forecast frame. The report encompasses market definition, currency and pricing, market segmentation, market overview, premium insights, key insights and company profile of the key market players. The persuasive Quantum Computing market report also helps to know about the types of consumers, their response and views about particular products, and their thoughts for the step up of a product.

Quantum computing is an advanced developing computer technology which is based on the quantum mechanics and quantum theory. The quantum computer has been used for the quantum computing which follows the concepts of quantum physics. The quantum computing is different from the classical computing in terms of speed, bits and the data. The classical computing uses two bits only named as 0 and 1, whereas the quantum computing uses all the states in between the 0 and 1, which helps in better results and high speed. Quantum computing has been used mostly in the research for comparing the numerous solutions and to find an optimum solution for a complex problem and it has been used in the sectors like chemicals, utilities, defence, healthcare & pharmaceuticals and various other sectors. Quantum computing is used for the applications like cryptography, machine learning, algorithms, quantum simulation, quantum parallelism and others on the basis of the technologies of qubits like super conducting qubits, trapped ion qubits and semiconductor qubits. Since the technology is still in its growing phase, there are many research operations conducted by various organizations and universities including study on quantum computing for providing advanced and modified solutions for different applications. For instance, Mercedes Benz has been conducting research over the quantum computing and how it can be used for discovering the new battery materials for advanced batteries which can be used in electric cars. Mercedes Benz has been working in collaboration with the IBM on IBM Q network program, which allows the companies in accessing the IBMs Q network and early stage computing systems over the cloud. Global quantum computing market is projected to register a healthy CAGR of 29.5% in the forecast period of 2019 to 2026.

Download Sample Copy of the Report to understand the structure of the complete report (Including Full TOC, Table & Figures) @https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-quantum-computing-market&Somesh

Quantum Computing Market Scope and Segmentation:

Global quantum computing market is segmented into seven notable segments which are system, qubits, deployment model, component, application, logic gates and vertical.

Quantum Computing Market Country Level Analysis

For detailed insights on Global Quantum Computing Market Size, competitive landscape is provided i.e. Revenue Share Analysis (Million USD) by Players, Revenue Market Share (%) by Players and further a qualitative analysis is made towards market concentration rate, product differentiation, new entrants are also considered in heat map concentration.

New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC at @https://www.databridgemarketresearch.com/toc/?dbmr=global-quantum-computing-market&Somesh

Leading Key Players Operating in the Quantum Computing Market Includes:

Some of the major players operating in this market are Honeywell International, Inc., Accenture, Fujitsu, Rigetti & Co, Inc., 1QB Information Technologies, Inc., IonQ, Atom Computing, ID Quantique, QuintessenceLabs, Toshiba Research Europe Ltd, Google,Inc., Microsoft Corporation, Xanadu, Magiq Technologies, Inc., QX branch, NEC Corporation, Anyon System,Inc. Cambridge Quantum Computing Limited, QC Ware Corp, Intel Corporation and others.

Product Launch

The Quantum Computing Market research covers a comprehensive analysis of the following facts:

Table of Content:

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: RESEARCH METHODOLOGY

PART 04: INTRODUCTION

PART 05: MARKET LANDSCAPE

PART 06: MARKET SIZING

PART 07: FIVE FORCES ANALYSIS

PART 08: MARKET SEGMENTATION BY PRODUCT

PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL

PART 10: CUSTOMER LANDSCAPE

PART 11: MARKET SEGMENTATION BY END-USER

PART 12: REGIONAL LANDSCAPE

PART 13: DECISION FRAMEWORK

PART 14: DRIVERS AND CHALLENGES

PART 15: MARKET TRENDS

PART 16: COMPETITIVE LANDSCAPE

PART 17: COMPANY PROFILES

PART 18: APPENDIX

Inquire Before Buying This Research Report:https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-quantum-computing-market&Somesh

About Us:

An absolute way to forecast what future holds is to comprehend the trend today!

Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with an unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge Market Research provides appropriate solutions to complex business challenges and initiates an effortless decision-making process.

Contact:

US: +1 888 387 2818

UK: +44 208 089 1725

Hong Kong: +852 8192 7475

corporatesales@databridgemarketresearch.com

Excerpt from:

Quantum Computing Market Share Current and Future Industry Trends, 2020 to 2027 The Courier - The Courier

Restrictions due to the COVID-19 pandemic have made it more challenging to exercise as often (or as intensely) as some people did before.

In fact, many of us have found ourselves practicing a more sedentary lifestyle, gaining unwanted weight over the past year.

But as restrictions ease, a number of us have started thinking how to approach losing weight and embracing exercise in a healthy, measured way.

New research published in the journal Nutrients may make that task easier.

The study examined the connection between physical activity and its effects on both how and what we eat.

The findings offer some interesting insight into our relationship with fitness and food, and may help provide a clearer road map for people looking to make lifestyle changes.

For the study, researchers from the Technical University of Munich (TUM) and the University of Nebraska surveyed 41 healthy adults 23 women and 18 men between ages 19 and 29.

The participants had an average body mass index (BMI) of 23.7. This is an estimate of body fat based on height and weight.

Generally, a BMI over 25 indicates a person might be overweight.

They were then randomly assigned either a 45-minute session of exercise or a 45-minute rest period at their first visit. They would then switch and complete the opposite session at their second visit with the researchers.

During each visit, those assigned to the exercise group were given electronic questionnaires before physical activity about how hungry or full they were, their preferred amount of food to eat, and a choice between types of food that differed in how long it would take to eat them.

The participants would then let the researchers know what their preferred food quantities were by writing down the portion size they would like for each type of food item.

The researchers collected these preferences for both immediate and later consumption of the food after 4 hours.

Once they answered this questionnaire, participants would complete their 45 minutes of exercise on a bicycle ergometer. Right after finishing, they would complete the questionnaire a second time and then again after a 30-minute recess.

Those who werent in the exercise group still completed all three rounds of questionnaires, but instead of 45 minutes of exercise, they had periods of rest.

The results?

The researchers found that exercise offered a greater increase in food quantities people chose. This was both right after exercise and then 30 minutes later.

They also found that exercise resulted in more desire for immediate consumption right after finishing their workout and 30 minutes after.

Most surprising to us was that the increase in hypothetical preferences for food amount and immediate consumption were already apparent, albeit not as strong, immediately after the exercise bout, study author Karsten Khler, PhD, professor of exercise, nutrition, and health at TUM, told Healthline.

Khler said that his research team expected the increase would be noticeable after the 30-minute postexercise period, but anticipated no increase right after exercise.

He said this is due to whats called exercise-induced anorexia, or a reduction in a persons sense of hunger or appetite during and right after exercise.

This phenomenon is caused by anorexigenic hormones and reactions in appetite-stimulating hormones as a result of exercise.

However, the fact that increases were less robust immediately after exercise when compared to 30-minute postexercise somewhat validates our initial assumption, he added.

When asked why someone might overeat or eat higher quantities of food after exercising, Khler said we generally know that the body responds to both psychological and physiological cues from exercise.

The psychological involves the sense of seeking a reward for completing a workout, while the physiological derives from metabolic and endocrine cues from your body that stimulate food intake in order to compensate for the increased energy expenditure of exercise, he said.

The research done by Khler and his team is certainly timely.

The World Health Organization (WHO) reports that obesity defined as a BMI of 30 or higher has tripled globally since 1975, and that 39 percent of adults 18 and over were overweight, according to 2016 figures.

About 13 percent of these people were living with obesity.

Concerns over weight and whether people are practicing enough physical activity have only been exacerbated during the pandemic.

Another recent study showed 61 percent of U.S. adults gained weight during the current health crisis, citing stress, lack of activity, and unhealthy shifts in eating habits as main drivers for weight changes.

When asked how common it is for people to practice the eating behaviors shown by the new study, Erica Sander, an exercise physiologist at the University of California, San Francisco (UCSF), said that your body is smart, it will want to replace the energy it used.

The highly palatable foods, like pizza, can be more appealing when you are famished from a workout. If you are trying to lose fat mass and continuing rewarding every workout with extra calories, the scale wont budge, she told Healthline.

Sander, who wasnt affiliated with the new study, said that fat loss is not a math equation of calories in and calories out, its more like a chemistry set yoga, running, french fries, kale, stress from work, and a comfy couch at home all have a different impact on hormones in your body.

In order to lose weight, you need to maintain a caloric deficit, which is mainly driven by reduced calorie intake, Sander explained.

David Janke, an exercise physiologist at UCSF, added that most people know in general what they should or shouldnt eat after a workout.

I think there is a portion of people that exercise so they think they can eat whatever they want. However, this is a huge misconception that people have. To lose weight you must consume less calories than your body is using, he told Healthline, echoing Sander.

Janke used the example of someone doing a big workout that burns 600 calories, such as an hour of vigorous cardio exercise. Following that physical activity, they then consume a large jelly doughnut thats also roughly 600 calories.

The hard work and exercise they did is now a wash because consuming a food that has literally no nutritional value and tons [of] calories puts the person right back where they started before the hour of cardio, said Janke, who also wasnt affiliated with the new study.

A huge portion of losing weight comes from what you eat, he added.

Khler said that planning your postexercise snack or meal before you actually work out might be a good way to go, rather than impulsively opting for those doughnuts.

Secondly, we also saw that there is a rather large inter-individual variability. Some participants wanted much more, others wanted less, he said.

That way, not everyone needs to follow my first advice. However, based on what we know from the literature and also from some preliminary analyses of our data set, those who are more likely to overeat following exercise also tend to have a higher weight/BMI, Khler explained.

Janke recommends you try to eat your meals at the same time each day. This allows your body to know when food is coming, and it can have something of a domino effect, helping with your appetite, digestion, and the rate at which your body processes fat, sugar, and cholesterol.

I also recommend that if someone is trying to lose weight and really has to have an unhealthy calorie-dense meal, then they should consume that meal for breakfast, Janke added. Giving your body a chance to use those calories throughout the day and for the exercise session.

Sander agreed with the above points, saying that having a plan is key. You should always plan to fuel your exercise as well as your recovery from exercise.

Your plan doesnt have to be stacked containers of meal prep in the fridge, it can start by only buying the food that fits your plan, she added.

What about recommendations for go-to foods?

Janke encourages people to have a snack of some kind within 30 to 45 minutes after their workout. He said thats the crucial anabolic window when its best to refuel your muscles after exercise.

A few of my go-to recommendations for a postexercise snack include: apples with a natural nut butter no additives hummus with carrots and broccoli, plain organic Greek yogurt with berries, and almonds with sweet potatoes, he said.

Sander said it really depends on the individual.

It varies depending on that persons nutritional needs and the kinds of exercise theyve just completed. A heavy gym session or a long bike ride might require completely different fuel before and after workout.

Sander also asserted that snacks and meals are different.

Some people swear they love a green protein shake after a workout where I usually prefer to have a meal. One of my first suggestions that fits many diet styles is to add more veggies and drink water, Sander said.

As a mountain biker, I need to have a plan for pre-, during, and post-rides. I like having a stack of waffles in the freezer, both sweet and savory; and its always a crowd pleaser if you bring enough to share, Sander added.

Both Janke and Sander said the pandemic weve been living through has certainly made life more complicated especially when it comes to approaching overall health, exercise, and nutrition.

The pandemic has created a unique situation where a lot of people are gaining weight. I believe there are several factors that contribute to the recent gain in weight seen in many Americans. Factors such as stress eating and increased inactivity due to the inability to do the physical activities people once did, Janke said.

Gyms have been closed, group exercise classes have been canceled, and the push to socially distance ourselves have made it harder for a lot of Americans to get the recommended amount of physical activity they should be getting, he added.

Sander said that its been a challenge for many this past year, especially with the loss of a sense of routine.

Today is a great day to start: Can you find an activity that you are comfortable with?' she said.

More:
How Exercise Can Influence What We Eat and How Much - Healthline

Whether she's walking the runways at Paris Fashion Week or posing poolside for a print campaign, Bella Hadid has made a career of staying fit. However, you won't find the star sacrificing her health or happiness to get into runway-ready shape. In series of new ab-bearing photos, Hadid revealed her "secret" to her followers.

Read on to discover the star's exact diet and workout plan. And for more insight into how your favorite stars get in shape, check out Bachelorette Star Andi Dorfman Reveals Exact Workout and Diet in New Bikini Pics.

On April 20, Hadid posted a series of photos of herself to Instagram, revealing her toned abs, legs, and arms. "The secret is being yourself," she captioned the pictures. "Oooohhhh I just gave it away to em."

The star has admitted in the past that regular exercise is also an essential tool in her healthy living arsenaland one that similarly boosts her confidence.

"Put in 100% from the start to the end of a workout. There is nothing better than to push yourself to the limit, while making the most of it. Going to the gym for two hours with only 50% motivation is the best way of erasing the feeling of accomplishment and well-being that boosts self-confidence that you get from a workout," she told Vogue France.

For more celebrity health and fitness news delivered to your inbox, sign up for our newsletter!

So, exactly how does a supermodel getand stayin shape? Hadid says that boxing has been a game-changer when it comes to keeping her toned and motivated.

"I train with my coach for intensive sessions. I run non-stop for 20 minutes followed by a boxing session and finally a series of weights targeting the abs and glutes," she told Vogue France. She even admitted to the magazine that her sister Gigi Hadid is her dream sparring partner, calling the fellow model "strong and sturdy both mentally and physically."

To keep her energy high during her workout, Hadid told Vogue France that she drinks "a smoothie, a juice, or a protein drink 30 minutes before the session." After she's done, she typically eats a meal with a mixture of protein and carbs, like chicken and brown rice. And for more celebrity transformations, check out Nicole Scherzinger Shares Her Exact Diet and Workouts in New Bikini Pics.

It's not just pre- and post-workout snacks that keep Hadid going strong all day. In an interview with Harper's Bazaar, Hadid revealed that she has "really low blood sugar" and has to "eat all the time" to keep her energy up.

"I like having a good protein meal because I get really tired if I eat too much, so I try to fill myself up with things that will make me feel good," said the star.

Hadid doesn't shy away from her favorite carbs, either. The supermodel told Harper's Bazaar that, on mornings off when she doesn't feel like cooking, she typically visits the bagel shop near her apartment. "My go-to is an egg sandwich on a plain bagel," says Hadid.

She relies on coffee to keep her energy up, as well. "I'm also a big coffee drinker," she told Bazaar. "I'll have three espressos before noon." And if you want to know how stars shape up, check out DWTS Star Witney Carson Reveals Her Exact 30-Day Weight Loss Plan.

Go here to see the original:
This Is Bella Hadid's Exact Diet and Workout Plan | Eat This Not That - Eat This, Not That

Fruits are generally considered healthy as part of a balanced diet. However, some people with certain health conditions or dietary restrictions may find some fruits more suitable than others.

Whole fruits can be part of an overall healthy diet for many people. Diets that are rich in whole foods such as fruits, vegetables, and whole grains support overall health and may help prevent some chronic conditions.

Fruits contain nutrients that may be lacking in the average diet, along with other beneficial plant compounds, such as various antioxidants.

For some people, certain types of fruit may be more desirable than others.

Some people or diets may consider certain fruits unhealthy, and, in some cases, there may be healthier alternatives for people to consider.

This article looks at why people with certain dietary restrictions or health conditions may wish to avoid certain fruits, which fruits they may wish to avoid, and some alternatives they may consider healthier.

Although fruit is generally a healthy staple in any diet, there are some factors that may make certain fruits unhealthy by a persons individual standards, based on any health conditions, dietary restrictions, or weight loss goals they may have.

For example, some people following low carbohydrate or ketogenic diets may restrict their fruit intake.

The glycemic index (GI) is a ranking system for carb foods such as fruit to measure how they affect blood sugar levels after a person eats them.

Foods with higher GI scores affect blood sugar more after ingestion, so they may not be the most healthy option for people who need to control their blood sugar levels, such as those with diabetes.

Even aside from GI scores, some people may be looking to cut higher sugar sources from their diet.

In general, fruit is a rich source of dietary sugars. This extra sugar may lead to the person eating more calories than intended.

For others, the sugar itself may be the thing they wish to avoid.

Some people may also look to eliminate certain fruits for being high in fats.

Fruits such as avocado and coconut are naturally high in fats. People who are following a low fat diet may not consider these fruits healthy for them, or they may want to avoid the extra calories from fat that these fruits have.

It is important to keep in mind that most whole fruits are healthy when a person eats them in moderation and as a part of a balanced diet.

No fruits are truly unhealthy in and of themselves.

However, some people may simply prefer not to eat certain fruits due to their higher sugar, fat, or calorie level that may interfere with their weight loss goals, current diet, or dietary restrictions.

Others, such as those with diabetes or allergies, may need to watch their intake of certain fruits for health reasons.

The following sections look at some fruits that certain people may consider unhealthy.

Bananas contain a number of important nutrients.

However, some people may not enjoy eating bananas due to their higher amounts of carbs, sugars, and calories per serving.

One banana contains:

It also contains the following vitamins and minerals:

Mangoes are rich in vitamins and some antioxidants.

However, they are also very rich in sugars that may affect blood sugar levels, so some people may need to avoid eating them.

One cup of mango contains:

It also contains the following vitamins and minerals:

Cherries are rich in antioxidants and important nutrients.

However, they also have a lot of sugar per serving, with little fiber to balance this out. Some people may choose to avoid eating cherries for this reason.

One cup of cherries contains:

It also contains the following vitamins and minerals:

Coconut is the fruit of the coconut palm, and people use it for its meat, water, and oil.

Coconut is very high in fat, so it may not be ideal for people who are looking to reduce their fat or calorie intake.

One cup of fresh coconut contains:

It also contains the following vitamins and minerals:

Grapes contain important vitamins and antioxidants.

However, they are also high in sugars and have little fiber to balance this out.

One cup of grapes contains:

It also contains the following vitamins and minerals:

Lychees have a highly fragrant smell and taste, and they contain beneficial vitamins and antioxidants.

However, they may be too sweet for some people, and they have very little fiber to balance out their sugar content.

One cup of lychees contains:

It also contains the following vitamins and minerals:

Oranges are sources of fiber, water, and important vitamins, such as vitamin C.

Orange juice is a popular way to consume oranges, but it may not be as healthy as oranges themselves.

The juicing process removes much of the fiber from an orange, making it easier to consume more of it without becoming full.

Orange juice is also rich in sugars and is quite acidic, which may contribute to the erosion of tooth enamel.

About 1 cup of orange juice contains:

It also contains the following vitamins and minerals:

Dried fruit has had all of its water removed.

The result is a smaller, more nutrient dense version of the fruit. These tend to be sweeter and smaller than their whole fruit alternatives, which may make it easier to overeat them.

People who are watching their calorie or sugar intake may, therefore, want to avoid dried fruits.

When people use the term unhealthy fruits, they may be referring to the balance between sugars and fiber, the fat or carb content of the fruit, or other factors, such as the levels of vitamins or antioxidants in the fruit.

From these perspectives, there may be some fruits that are preferable for some people and in some diets.

In general, berries are well-rounded from a nutritional standpoint.

Although their exact composition will vary, many berries are typically lower in sugar than many other fruits and contain beneficial fiber and vitamins.

Berries also tend to have higher levels of phytochemicals and antioxidants that may support overall health.

Because of their unique composition, berries have been the subject of many studies.

For example, one meta-analysis in the journal Nutrients notes that having a high intake of various berries may help reduce weight, decrease caloric intake, and reduce the risk of conditions such as metabolic syndrome, diabetes, cardiovascular disease, and some types of cancer.

Watermelons name derives from the fact that it mostly comprises water. It is very low in calories while providing the sweet taste that many people desire from fruit.

One cup of watermelon contains:

It also contains the following vitamins and minerals:

Apples are rich in water and healthy fibers that may be more filling than some other options without being very calorie dense. They also provide important antioxidants to the body.

One large apple contains:

It also contains the following vitamins and minerals:

Grapefruit is low in calories and high in nutrients, including a number of helpful antioxidants.

One cup of grapefruit contains:

It also contains the following vitamins and minerals:

Although no fruit is inherently unhealthy, it is important to consider fruits in the context of a balanced, healthy diet.

Overeating some foods especially those high in sugars, fats, or calories may not be right for people with certain conditions or dietary restrictions.

These people may consider some fruits less healthy than others based on their personal needs. Trying other alternatives may help them maintain their health or reach their weight or body composition goals.

See the original post:
Which fruits are less healthy, and which are better for you? - Medical News Today