1. MIT researchers use quantum computing to observe entanglement  MIT News
2. A 'Wormhole' Built on a Quantum Computer Teleported Information as Predicted  ScienceAlert
3. Google's quantum computer suggests that wormholes are real  Big Think
4. Physicists observe wormhole dynamics using a quantum computer  Caltech
5. Physicists Create the Smallest, Crummiest Wormhole You Can Imagine  The New York Times
6. View Full Coverage on Google News

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MIT researchers use quantum computing to observe entanglement - MIT News

Worlds first e-passport that meets security needs of quantum computing era: Report  The Hindu

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Worlds first e-passport that meets security needs of quantum computing era: Report - The Hindu

Last November, IBM launched its 127-qubit Eagle, surpassing Chinas 113-qubit Jiuzhang to become the worlds fastest quantum computer. Now, China risks falling further behind in the quantum computing race as the United States reportedly weighs new export controls on the game-changing technology.

The new ban, if implemented, would target quantum computing, artificial intelligence software and other emerging technologies that could have security implications vis-a-vis China. The ban would mark a next salvo on the Biden administrations October 7 move to block high-end chips and advanced chip-making equipment exports to China.

Bloomberg reported that US industry experts are now weighing in on the potential parameters of the restrictions, which are still preliminary, and that US allies are being consulted. Analysts say any such ban would further antagonize China, which strongly protested the October 7 bans, and could put the two rivals on a dangerous collision course.

Chinese media commentators say the US aims to strengthen efforts to slow Chinas development in emerging technologies, where the two strategic rivals are racing to lead the way. The commentators suspect the US will not only aim to block China from obtaining key quantum computing parts and software but also force other countries to uphold the bans.

The US is making no secret of how it views the emerging and sensitive technology.

US National Security Advisor Jake Sullivan said ina speech last monthon technology, competitiveness and national security that computing-related technologies, including microelectronics, quantum information systems and artificial intelligence as among developments set to play an outsized importance over the coming decade. He also noted the importance of export controls to maintain as large of a lead as possible over rivals.

Currently, Alphabets Google, Intel, Microsoft and IBM are all investing heavily in quantum computing projects. Other major players in the sector include US-based IonQ and Japans Fujitsu Ltd.

Quantum computers mark, well, a quantum leap over the speed and power of current supercomputers.

That means they will likely be able to crack and bypass the encryption technologies used to secure current computer communications. More broadly, the technology is expected to unleash waves of new innovation that will revolutionize industry, communications and, crucially, defense.

On September 15, US President Joe Biden signed an executive order urging the US Treasury DepartmentsCommittee on Foreign Investment into the US (CFIUS) to ensure more robust consideration of evolving national security risks.

What may otherwise appear to be an economic transaction undertaken for commercial purposes may actually present an unacceptable risk to US national security when conducted with foreign adversaries or countries of special concern, according to the Executive Order.

It said the committee should consider the transactions effect on US supply chain resilience and national security across the microelectronics, AI, biotechnology and quantum computing sectors.

The Biden administration is now working on an outbound investment review mechanism that would scrutinize money heading to certain Chinese technologies, and new quantum computing and artificial intelligence controls could be included, according to an anonymous source quoted by Bloomberg.

Biden has said the new curbs unveiled by the US Commerce Departments Bureau of Industry and Security (BIS) on October 7 have already successfully blocked Chinas access to key US chip technologies. Thecurbshave also limited how US citizens and residents are allowed to work and collaborate with Chinese tech firms.

Secrss.com, a Shanghai-based research institute, noted in several articles this year that quantum computing can be applied in computing, communication, navigation, power and military defense industries. It said quantum computing had the potential to change the results of future wars.

One article said quantum computers can be used to initiate cyber warfare by decoding passwords and bypassing encryption used on current digital computers. It said quantum computing technologies can also be used to navigate drones and submarines.

Another article, citing a report in the European Physical Journal, said a quantum radar would be launched one day and used in space war.

China is making strong progress in the field in the current open trading environment. The 66-qubit Zuchongzhi 2, for instance, is reportedly 10 million times faster than Googles 55-qubit Sycamore.

In December 2020, a University of Science and Technology of China research team led by scientist Pan Jianwei launched Jiuzhang, a light-based or photonics quantum computer that can work at room temperature. It is said to be 10 billion times faster than Googles Sycamore.

In May 2021, Pan and his team launched Zuchongzhi 2, a superconducting quantum computer that needs to work at a temperature close to absolute zero. Jiuzhang and Zuchongzhi 2s details were published last November by the Physical Review Letters, a scientific journal of the American Physical Society.

Soon thereafter, IBMs Eagle surpassed Zuchongzhi 2 to become the worlds fastest superconducting quantum machine, underscoring the two sides budding rivalry in the filed.

Read: New US chip ban takes tech war to dire next level

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US mulling bans to stunt Chinas quantum computing

High-performance computing and quantum technologies move to the forefront of sustainable energy solutions  IT World Canada

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High-performance computing and quantum technologies move to the forefront of sustainable energy solutions - IT World Canada

Accelerating advances in quantum computingare serving as powerful reminders that the technology is rapidly advancing toward commercial viability. In just the past few months, for example, a research center in Japan announced a breakthrough in entangling qubits (the basic unit of information in quantum, akin to bits in conventional computers) that could improve error correction in quantum systems and potentially make large-scale quantum computers possible. And one company in Australia has developed software that has shown in experiments to improve the performance of any quantum-computing hardware.

As breakthroughs accelerate, investment dollars are pouring in, and quantum-computing start-ups are proliferating. Major technology companies continue to develop their quantum capabilities as well: companies such as Alibaba, Amazon, IBM, Google, and Microsoft have already launched commercial quantum-computing cloud services.

Of course, all this activity does not necessarily translate into commercial results. While quantum computing promises to help businesses solve problems that are beyond the reach and speed of conventional high-performance computers, use cases are largely experimental and hypothetical at this early stage. Indeed, experts are still debating the most foundational topics for the field (for more on these open questions, see sidebar, Debates in quantum computing).

Still, the activity suggests that chief information officers and other leaders who have been keeping an eye out for quantum-computing news can no longer be mere bystanders. Leaders should start to formulate their quantum-computing strategies, especially in industries, such as pharmaceuticals, that may reap the early benefits of commercial quantum computing. Change may come as early as 2030, as several companies predict they will launch usable quantum systems by that time.

To help leaders start planning, we conducted extensive research and interviewed 47 experts around the globe about quantum hardware, software, and applications; the emerging quantum-computing ecosystem; possible business use cases; and the most important drivers of the quantum-computing market. In the report Quantum computing: An emerging ecosystem and industry use cases, we discuss the evolution of the quantum-computing industry and dive into the technologys possible commercial uses in pharmaceuticals, chemicals, automotive, and financefields that may derive significant value from quantum computing in the near term. We then outline a path forward and how industry decision makers can start their efforts in quantum computing.

An ecosystem that can sustain a quantum-computing industry has begun to unfold. Our research indicates that the value at stake for quantum-computing players is nearly $80 billion (not to be confused with the value that quantum-computing use cases could generate).

Because quantum computing is still a young field, the majority of funding for basic research in the area still comes from public sources (Exhibit 1).

Exhibit 1

However, private funding is increasing rapidly. In 2021 alone, announced investments in quantum-computing start-ups have surpassed $1.7 billion, more than double the amount raised in 2020 (Exhibit 2). We expect private funding to continue increasing significantly as quantum-computing commercialization gains traction.

Exhibit 2

Hardware is a significant bottleneck in the ecosystem. The challenge is both technical and structural. First, there is the matter of scaling the number of qubits in a quantum computer while achieving a sufficient level of qubit quality. Hardware also has a high barrier to entry because it requires a rare combination of capital, experience in experimental and theoretical quantum physics, and deep knowledgeespecially domain knowledge of the relevant options for implementation.

Multiple quantum-computing hardware platforms are under development. The most important milestone will be the achievement of fully error-corrected, fault-tolerant quantum computing, without which a quantum computer cannot provide exact, mathematically accurate results (Exhibit 3).

Exhibit 3

Experts disagree on whether quantum computers can create significant business value before they are fully fault tolerant. However, many say that imperfect fault tolerance does not necessarily make quantum-computing systems unusable.

When might we reach fault tolerance? Most hardware players are hesitant to reveal their development road maps, but a few have publicly shared their plans. Five manufacturers have announced plans to have fault-tolerant quantum-computing hardware by 2030. If this timeline holds, the industry will likely establish a clear quantum advantage for many use cases by then.

The number of software-focused start-ups is increasing faster than any other segment of the quantum-computing value chain. In software, industry participants currently offer customized services and aim to develop turnkey services when the industry is more mature. As quantum-computing software continues to develop, organizations will be able to upgrade their software tools and eventually use fully quantum tools. In the meantime, quantum computing requires a new programming paradigmand software stack. To build communities of developers around their offerings, the larger industry participants often provide their software-development kits free of charge.

In the end, cloud-based quantum-computing services may become the most valuable part of the ecosystem and can create outsize rewards to those who control them. Most providers of cloud-computing services now offer access to quantum computers on their platforms, which allows potential users to experiment with the technology. Since personal or mobile quantum computing is unlikely this decade, the cloud may be the main way for early users to experience the technology until the larger ecosystem matures.

Most known use cases fit into four archetypes: quantum simulation, quantum linear algebra for AI and machine learning, quantum optimization and search, and quantum factorization. We describe these fully in the report, as well as outline questions leaders should consider as they evaluate potential use cases.

We focus on potential use cases in a few industries that research suggests could reap the greatest short-term benefits from the technology: pharmaceuticals, chemicals, automotive, and finance. Collectively (and conservatively), the value at stake for these industries could be between roughly $300 billion and $700 billion (Exhibit 4).

Exhibit 4

Quantum computing has the potential to revolutionize the research and development of molecular structures in the biopharmaceuticals industry as well as provide value in production and further down the value chain. In R&D, for example, new drugs take an average of $2 billion and more than ten years to reach the market after discovery. Quantum computing could make R&D dramatically faster and more targeted and precise by making target identification, drug design, and toxicity testing less dependent on trial and error and therefore more efficient. A faster R&D timeline could get products to the right patients more quickly and more efficientlyin short, it would improve more patients quality of life. Production, logistics, and supply chain could also benefit from quantum computing. While it is difficult to estimate how much revenue or patient impact such advances could create, in a $1.5 trillion industry with average margins in earnings before interest and taxes (EBIT) of 16 percent (by our calculations), even a 1 to 5 percent revenue increase would result in $15 billion to $75 billion of additional revenues and $2 billion to $12 billion in EBIT.

Quantum computing can improve R&D, production, and supply-chain optimization in chemicals. Consider that quantum computing can be used in production to improve catalyst designs. New and improved catalysts, for example, could enable energy savings on existing production processesa single catalyst can produce up to 15 percent in efficiency gainsand innovative catalysts may enable the replacement of petrochemicals by more sustainable feedstock or the breakdown of carbon for CO2 usage. In the context of the chemicals industry, which spends $800 billion on production every year (half of which relies on catalysis), a realistic 5 to 10 percent efficiency gain would mean a gain of $20 billion to $40 billion in value.

The automotive industry can benefit from quantum computing in its R&D, product design, supply-chain management, production, and mobility and traffic management. The technology could, for example, be applied to decrease manufacturing processrelated costs and shorten cycle times by optimizing elements such as path planning in complex multirobot processes (the path a robot follows to complete a task) including welding, gluing, and painting. Even a 2 to 5 percent productivity gainin the context of an industry that spends $500 billion per year on manufacturing costswould create $10 billion to $25 billion of value per year.

Finally, quantum-computing use cases in finance are a bit further in the future, and the advantages of possible short-term uses are speculative. However, we believe that the most promising use cases of quantum computing in finance are in portfolio and risk management. For example, efficiently quantum-optimized loan portfolios that focus on collateral could allow lenders to improve their offerings, possibly lowering interest rates and freeing up capital. It is earlyand complicatedto estimate the value potential of quantum computingenhanced collateral management, but as of 2021, the global lending market stands at $6.9 trillion, which suggests significant potential impact from quantum optimization.

In the meantime, business leaders in every sector should prepare for the maturation of quantum computing.

Until about 2030, we believe that quantum-computing use cases will have a hybrid operating model that is a cross between quantum and conventional high-performance computing. For example, conventional high-performance computers may benefit from quantum-inspired algorithms.

Beyond 2030, intense ongoing research by private companies and public institutions will remain vital to improve quantum hardware and enable moreand more complexuse cases. Six key factorsfunding, accessibility, standardization, industry consortia, talent, and digital infrastructurewill determine the technologys path to commercialization.

Leaders outside the quantum-computing industry can take five concrete steps to prepare for the maturation of quantum computing:

Leaders in every industry have an uncommon opportunity to stay alert to a generation-defining technology. Strategic insights and soaring business value could be the prize.

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Quantum computing use cases--what you need to know | McKinsey

Physics Nobel Prize winner Serge Haroche on quantum computing: There are still many difficulties to overcome  EL PAS USA

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Physics Nobel Prize winner Serge Haroche on quantum computing: There are still many difficulties to overcome - EL PAS USA

Quantum computing offers the potential to harness big data, make intricate predictions and use artificial intelligence (AI) to revolutionize business operations. Many industries such as automotive, agriculture, finance, healthcare, energy, logistics and space will be affected from the growth in this technology. As a result, Wall Street has been paying significant attention to quantum computing stocks.

Once considered science fiction, quantum computing has made significant progress in recent years to solve complex problems at lightning speed. This advanced technology uses the power of quantum mechanics to represent complex problems. These computers can take seconds to calculate equations that normally take days for machines that use a binary framework.

International Data Corporation forecasts that the global market for quantum computing should grow from about $412 million in 2020 to more than $8.5 billion in 2027. This increase would mean a compound annual growth rate (CAGR) of an eye-popping 50% between now and 2027. Given such metrics, its understandable why investors are thrilled about the future of quantum computing stocks.

While it is currently in its early days, Wall Street has already warmed up to long-term prospects of this technology. Besides several pure-play quantum computing stocks going public in 2021, well-known tech names are pouring significant research dollars to invest in this advanced segment.

With that information, here are the seven best quantum computing stocks to buy in 2022:

52-week range: $142.25 $191.95

Dividend yield: 1.7%

Semiconductor group Analog Devices manufactures integrated circuits that process analog and digital signals. ADIs chips are used in data converters, high-performance amplifiers and microwave-integrated circuits.

Analog Devices issuedQ4 2021 metricson Nov. 23. Revenue increased 53% year-over-year (YOY) to $2.34 billion. Adjusted earnings soared from $1.44 per share to $1.73 per share. The company generated a free cash flow of $810 million. Cash and equivalents ended the period at $1.98 billion.

Factory automation has fueled demand for sensors and machine connectivity, which increasingly rely on Analogs chips. In addition, the automotive industry has also become a key growth driver due to the rising use of advanced electronics in electric vehicles (EVs).

In late August, the chipmaker completed theacquisition of Maxim Integrated. The billion transaction should increase ADIs market share in automotive and 5G chipmaking.

ADI currently trades just under $160, up 7% over the past 12 months. Shares are trading at 21.5 times forward earnings and 8.9 times trailing sales. The 12-month median price forecast for Analog Devices stock stands at $210.

52-Week Range:$42.96 $57.15

Expense Ratio:0.40% per year

QTUM is an exchange-traded fund (ETF) that focuses on the next generation of computing. It offers exposure to names leading the way in quantum computing, machine learning and cloud computing. The fund tracks the BlueStar Quantum Computing and Machine Learning Index.

QTUM, which started trading in September 2018, has 71 holdings. The top 10 holdings account for less than 20% of net assets of $161.5 million. Put another way, fund managers are not taking major bets on any company.

Among the leading holdings on the roster are the security and aerospace company Lockheed Martin(NYSE:LMT), French telecommunications operator Orange(NYSE:ORAN) and IBM.

For most retail investors, QTUM could potentially be a safe and diversified place to start investing in quantum computing. As portfolio companies come from a wide range of technology segments, wide swings in the price of one stock will not affect the ETF significantly.

The fund has gained 8.7% over the past year and saw an all-time high in November 2021. However, the recent selloff in tech stocks led to a 10.7% decline year-to-date (YTD). Interested readers could regard this decline as a good entry point into QTUM.

52-week range: $113.17 $146.12

Dividend Yield: 4.8%

Technology giant International Business Machines (IBM) needs little introduction. The legacy tech name offers integrated solutions and services, including infrastructure, software, information technology (IT) and hardware.

IBM announcedQ4 2021 financials on Jan. 24. The company generated revenues of $16.7 billion, up 6.5% YOY. Net income stood at $2.33 billion, or $2.57 per diluted share, up from $1.36 billion, or $1.51 per diluted share, in the prior-year quarter. Cash and equivalents ended the period at $6.65 billion.

After the announcement, CEO Arvind Krishna said, We increased revenue in the fourth quarter with hybrid cloud adoption driving growth insoftware and consulting.

The company launched its Quantum System One quantum computer in 2019. Around 150 research groups and partner companies currently use IBMs quantum computing services. These names come from financial services businesses, automakers and energy suppliers.

In June 2021, IBMunveiledEuropes most powerful quantum computer in Germany. Moreover, the tech giant recentlyannounced a deal with Raytheon Technologies(NYSE:RTX) to provide quantum computing and AI services for the aerospace, defense and intelligence industries.

IBM currently changes hands around $137, up 20% over the past 12 months. Shares are trading at 13.5 times forward earnings and 2.2 times trailing sales. The 12-month median price forecast for IBM stock is $144.50. Interested readers could consider buying IBM shares around these levels.

52-week range: $7.07 $35.90

IonQ is one of the first publicly traded pure-play quantum computing stocks. It went public via a merger with the special purpose acquisition company (SPAC) dMY Technology Group III in late 2021.

The quantum name released Q3 2021 results on Nov. 15. Its net loss was $14.8 million, or 12 cents loss per diluted share, compared to a net loss of $3.6 million a year ago. Cash and equivalents ended the quarter at $587 million. Wall Street was pleased that at the time, YTD contract bookings came in at $15.1 million.

IonQ is currently developing a network of quantum computers accessible from various cloud services. The technology uses ionized atoms that allow IonQs machines to perform complex calculations with fewer errors than any other quantum computer available.

The start-up has the financial backing of prominent investors, including Bill Gates and the Japanese telecommunications companySoftbank Group(OTCMKTS:SFTBF). In addition, IonQ has been developing strategic partnerships with Microsoft, Amazons (NASDAQ:AMZN) Amazon Web Services and Alphabets(NASDAQ:GOOG, NASDAQ:GOOGL) GoogleCloud.

While IonQ is taking steps to become a commercialization-stage name, it is still a speculative investment. With its potential for explosive growth, it could be an attractive quantum computing stock for investors looking to take a risk.

IONQ stock hovers around $12. The recent selloff in tech stocks has led to a 26.7% decline YTD. Yet, the 12-month median price forecast for IONQ stock stands at $23.

52-week range: $224.26 $349.67

Dividend Yield: 0.8%

Microsoft is one the largest and most prominent technology firms worldwide. It offers software products and services, including Azure cloud service, the Office 365 productivity suite and the customer relationship management (CRM) platform Dynamics 365.

Meanwhile, the Microsoft Quantum is the worlds first full-stack, open cloud quantum computing ecosystem that allows developers to create quantum applications and run them on multiple platforms. The software giant provides quantum computing services via the cloud on Azure.

Management announced robust Q2 FY22 metricson Jan. 25. Revenue increased 20% YOY to $51.7 billion. Net income surged 21% YOY to $18.8 billion, or $2.48 per diluted share, compared to $15.5 billion, or $2.03 per diluted share, in the prior-year quarter. Cash and equivalents ended the period at $20.6 billion.

On Jan. 18, Microsoft announced plans to acquire Activision Blizzard(NASDAQ:ATVI), a leading player in game and interactive entertainment development. It will be an all-cash transaction valued at $68.7 billion. Wall Street expects this deal to provide tailwinds for Microsofts gaming business and building blocks for the metaverse.

MSFT stock currently trades just under $310, up 27% over the past 12 months. Shares support a valuation of 32.6 times forward earnings and 12.3 times trailing sales. And the 12-month median price forecast for Microsoft stock stands at $370.

52-week range: $115.67 $346.47

Dividend Yield: 0.06%

Santa Clara, California-based Nvidia has become an important name in advanced semiconductor design and software for next-generation computing development. InvestorPlace readers likely know the chipmaker is a market leader in the gaming and data center markets.

Nvidia announced impressive Q3 FY 2022 numbers on Nov. 17. Revenue soared 50% YOY to a record $7.1 billion, fueled by record sales in the gaming and data center businesses. Net income increased 62% YOY to $2.97 billion, or $1.17 per diluted share. Cash and equivalents ended the period at $1.29 billion.

The chipmaker provides the necessary processing power that drives the development of quantum computing. Additionally, Nvidia recently released cuQuantum, a software development kit designed for building quantum computing workflows. It has partnered with Google, IBM and other quantum computing players that rely on cuQuantum to accelerate their quantum computing work.

Given its growing addressable market in cloud computing, gaming, AI, and more recently the metaverse, NVDA stock deserves your attention. Share are changing hands around $245, up nearly 80% over the past year. However, despite an 18% decline YTD, shares are trading at 46.5 times forward earnings and 25 times trailing sales.

Finally, the 12-month median price forecast for Nvidia stock is $350. As the company gets ready to report earnings soon, investors should expect increased choppiness in price.

52-week range: $9.62 $12.75

Our final stock is Supernova Partners Acquisition II, a SPAC. It is merging with Rigetti Computing, a start-up focused on quantum computer development. As a result of the merger, Rigetti Computing was valued at about $1.5 billion and received $458 million in gross cash proceeds.

Rigetti designs quantum chips and then integrates those chips with a controlling architecture. It also develops software used to build algorithms for these chips.

Rigetti recently announced business highlightsfor the nine months ended Oct. 31, 2021. Revenue came in at $6.9 million. Net operating loss declined 3% YOY to $26.2 million.

We believe the time for quantum computing has arrived, said founder and CEO Chad Rigetti. Customer demand is increasing as Rigetti quantum computers begin to address high-impact computational problems.

The start-up launched the worlds first scalable multi-chip quantum processor in June 2021. This processor boasts a proprietary modular architecture. Now Wall Street expects the company to move toward commercialization.

Rigetti collaborates with government entities and technology to advance its quantum processors. For instance, it boasts strategic partnerships with the National Aeronautics and Space Administration (NASA) and the U.S. Department of Energy. It also works with data analytics firm Palantir Technologies (NYSE:PLTR) and electronics manufacturer Keysight Technologies(NYSE:KEYS).

SNII stock is currently shy of $10, down about 4% YTD. As investors interest in quantum computing names grow, shares are likely to become hot.

On the date of publication, Tezcan Gecgil holds both long and short positions in NVDA stock. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

TezcanGecgil has worked in investment management for over two decades in the U.S. and U.K. In addition to formal higher education in the field, she has also completed all 3 levels of the Chartered Market Technician (CMT) examination. Her passion is for options trading based on technical analysis of fundamentally strong companies. She especially enjoys setting up weekly covered calls for income generation.

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7 Best Quantum Computing Stocks to Buy in 2022 | InvestorPlace

Its oft said, but bears repeating: The money in the 49er Gold Rush was made by the suppliers much more than the miners. Enduring companies were built by selling picks, shovels and blue jeans.

The story plays out again today. Behind each breakthrough in quantum computing qubit-counts is a large collection of laboratory test equipment. Signal generators, arbitrary waveform generators, digitizers, oscilloscopes, spectrum analyzers and network analyzers are vital as quantum players coax ions, photons and superconducting qubits into calculating problems.

Thoughts along this line piqued our interest as we took part in the quantum computing portions of Keysight Technologies online Keysight World Innovate conference, held recently. Keysight, and competitors such as Anritsu and Tektronix, are busy coming up with tooling to scale the quantum cliffs.

Theres a lot of excitement about this technology and governments all around the world are investing in the research and development required to scale this up, Shohini Ghose, Ph.D., a quantum physicist at Wilfrid Laurier University, said in a keynote at Keysight World.

Its a very exciting time, [but] its not quite clear where this technology will go, she said.

Ghoses emphasis on large-scale investment is borne out by the numbers. Estimates of government and private efforts to spur quantum science and technology, according to Quantum Resources and Careers (QURECA), point to current worldwide investments reaching almost $30 billion, with the overall global quantum technology market projected to reach $42.4 billion by 2027.

Quantum R&D labs likely make up a small portion of the overall test and measurement market, which is expected to increase modestly from $27.7 billion in 2021 to $33.3 billion in 2026. But the market for testing tools used in quantum R&D labs will grow if the promise of quantum computing is to be successfully tapped.

A central part of Keysights test bed for development of quantum computers, sensors and network equipment is its Quantum Control System (QCS), which was introduced in June. QCS components support direct digital conversion of signals and include low-noise distributed clocking. A Keysight manager explained how that works and why it matters in testing.

QCS leverages FPGA timing and synchronizations for multichannel and multichassis operations, said Giampaolo Tardioli, vice president for Keysights Communications Solutions Group, speaking at the event.

Such traits are important as the quantum community looks to scale up its qubit counts. Important as well is software support, added Tardioli, who pointed to Keysights work to support QCS with Python APIs.

Keysights credentials for the quantum quest could not feature more vaunted lineage, as the company grew out of the original Hewlett-Packard test equipment that sprung from the Palo Alto, California, garage of Messrs. Hewlett and Packard in the 1930s. The garage is regularly cited as the birthplace of Silicon Valley.

Keysight has pursued quantum lab tech both organically (almost 100 scientists and engineers were involved in the creation of QCS) and through acquisition. Its quantum road map includes acquisition of modular measurement startup Signadyne in 2016, qubit control software maker Labber in 2020 and error diagnostics specialist Quantum Benchmark in 2021.

Although they still lag behind classical computers by most measures, quantum computers have made steady and perhaps increasing progress in recent years.

But many challenges lie ahead before quantum computers can be integrated into business operations, according to Patrick Moorhead, CEO and chief analyst, Moor Insights and Strategy, who spoke at Keysight World.

The biggest hurdle to jump over is error correction, Moorhead said, noting that a classic computer can do trillions of calculations before it gets an error, but such errors in quantum systems today tend to occur after about 100 to 200 calculations.

Much of Keysights quantum test focus these days is on understanding the impact of errors and how current techniques can remove or elude them. Its an important part of understanding just where the industry is on the road to quantum adoption.

For his part, Moorhead said his analyst firm is expecting a major breakthrough in error correction sometime this year. Even then, there is more prospective work ahead.

If error correction research is progressing at the rate we believe, it could take three to five years until it is usable in systems, he said.

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Keyed in to quantum computing lab testing at Keysight World - VentureBeat

DUBAI, United Arab of Emirates--(BUSINESS WIRE)--Breakthroughs in quantum computing will enable humans to cure diseases like cancer, Alzheimers, and Parkinsons as easily as we treat the common cold.

That was one of the major insights to emerge from the Dubai Future Forum, with renowned theoretical physicist Dr. Michio Kaku telling the worlds largest gathering of futurists that humanity should brace itself for major transformations in healthcare.

The forum concluded with a call for governments to institutionalize foresight and engrain it within decision making.

Taking place in Dubai, UAE at the Museum of the Future, Amy Webb, CEO of Future Today Institute, criticized nations for being too pre-occupied with the present and too focused on creating white papers, reports and policy recommendations instead of action.

Nowism is a virus. Corporations and governments are infected, she said.

One panel session heard how humans could be ready to test life on the Moon in just 15 years and be ready for life on Mars in another decade. Sharing his predictions for the future, Dr. Kaku also said there is a very good chance humans will pick up a signal from another intelligent life form this century.

Dr. Jamie Metzl, Founder and Chair, OneShared.World, urged people to eat more lab-grown meat to combat global warming and food insecurity.

If we are treating them like a means to an end of our nutrition, wouldnt it be better instead of growing the animal, to grow the meat? he said.

Among the 70 speakers participating in sessions were several UAE ministers. HE Mohammad Al Gergawi, UAE Minister of Cabinet Affairs, Vice Chairman, Board of Trustees and Managing Director of the Dubai Future Foundation, said ministers around the world should think of themselves as designers of the future. Our stakeholders are 7.98 billion people around the world, he noted.

Dubais approach to foresight was lauded by delegates, including HE Omar Sultan Al Olama, UAE Minister of State for Artificial Intelligence, Digital Economy, and Remote Work Applications, who said: What makes our city and nation successful is not natural resources, but a unique ability to embrace all ideas and individuals.

More than 30 sessions covered topics including immortality, AI sentience, climate change, terraforming, genome sequencing, legislation, and the energy transition.

*Source: AETOSWire

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Cancer to Be Treated as Easily as Common Cold When Humans Crack Quantum Computing - Business Wire

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Quantum computing can soon address many of the worlds toughest, most urgent problems.

Thats why the semiconductor legislation Congress just passed is part of a $280 billion package that will, among other things, direct federal research dollars toward quantum computing.

Quantum computing will soon be able to:

The economy and the environment are clearly two top federal government agenda items.Congress in July was poised to pass the most ambitious climate bill in U.S. history. The New York Times said that the bill would pump hundreds of billions of dollars into low-carbon energy technologies like wind turbines, solar panels and electric vehicles and would put the United States on track to slash its greenhouse gas emissions to roughly 40% below 2005 levels by 2030. This could help to further advance and accelerate the adoption of quantum computing.

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Because quantum technology can solve many previously unsolvable problems, a long list of the worlds leading businesses including BMW and Volkswagen, FedEx, Mastercard and Wells Fargo, and Merck and Roche are making significant quantum investments. These businesses understand that transformation via quantum computing, which is quickly advancing with breakthrough technologies, is coming soon. They want to be ready when that happens.

Its wise for businesses to invest in quantum computing because the risk is low and the payoff is going to be huge. As BCG notes: No one can afford to sit on the sidelines as this transformative technology accelerates toward several critical milestones.

The reality is that quantum computing is coming, and its likely not going to be a standalone technology. It will be tied to the rest of the IT infrastructure supercomputers, CPUs and GPUs.

This is why companies like Hewlett Packard Enterprise are thinking about how to integrate quantum computing into the fabric of the IT infrastructure. Its also why Terra Quantum AG is building hybrid data centers that combine the power of quantum and classical computing.

Amid these changes, employees should start now to get prepared. There is going to be a tidal wave of need for both quantum Ph.D.s and for other talent such as skilled quantum software developers to contribute to quantum efforts.

Earning a doctorate in a field relevant to quantum computing requires a multi-year commitment. But obtaining valuable quantum computing skills doesnt require a developer to go back to college, take out a student loan or spend years studying.

With modern tools that abstract the complexity of quantum software and circuit creation, developers no longer require Ph.D.-level knowledge to contribute to the quantum revolution, enabling a more diverse workforce to help businesses achieve quantum advantage. Just look at the winners in the coding competition that my company staged. Some of these winners were recent high school graduates, and they delivered highly innovative solutions.

Leading the software stack, quantum algorithm design platforms allow developers to design sophisticated quantum circuits that could not be created otherwise. Rather than defining tedious low-level gate connections, this approach uses high-level functional models and automatically searches millions of circuit configurations to find an implementation that fits resource considerations, designer-supplied constraints and the target hardware platform. New tools like Nvidias QODA also empower developers by making quantum programming similar to how classical programming is done.

Developers will want to familiarize themselves with quantum computing, whichwill be an integral arrow in their metaphorical quiver of engineering skills. People who add quantum skills to their classical programming and data center skills will position themselves to make more money and be more appealing to employers in the long term.

Many companies and countries are experimenting with and adopting quantum computing. They understand that quantum computing is evolving rapidly and is the way of the future.

Whether you are a business leader or a developer, its important to understand that quantum computing is moving forward. The train is leaving the station will you be on board?

Erik Garcell is technical marketing manager at Classiq.

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The world, and todays employees, need quantum computing more than ever - VentureBeat