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Many large tech companies have already invested heavily in quantum technologies, yet significant adoption of quantum computing has had its share of delays and false starts. However, with some recent announcements in the quantum sector, now seems to be the ideal time for organizations to take a closer look at quantum and consider how this approach could work for their business workloads. Organizations that have been historically focused on classical computing are now positioning quantum for the future.

In an ESG IT spending survey, 11% of respondents indicated their organizations were piloting quantum for a few applications, 17% indicated they are testing and 24% of respondents have begun research but are years away from production apps. Finally, 27% have expressed an interest in quantum computing but have not taken any action toward embracing it.

This slow growth in adoption is about to change -- and possibly quickly. As leading organizations explore new ways to produce faster results, accelerate buying cycles and improve performance, they have become more open to shifting away from purely classical solutions to accelerate adoption of quantum.

The industry is also discovering new methods and use cases that can be applied from classical to quantum computing platforms. Take, for example, the recent merger between Quantum Computing Inc. (QCI) and QPhoton, a quantum photonics company. Bill McGann, COO and CTO at QCI, discussed the merger.

Based on the information he shared, it seems that the combination of QCI and QPhoton capabilities can deliver a quantum computer that makes quantum systems more accessible for organizations, so they can see business results faster and more cost effectively. Another benefit of this merger is that the companies are broadening the user base to non-quantum experts, many of whom have been anxiously awaiting the opportunity to explore quantum-possible problems in areas like analytical optimization and drug discovery.

Using a full-stack approach, QCI and QPhoton together offer a unique opportunity to accelerate the delivery of practical quantum applications. This is the same process that drove value in classical computing. The merger of the two companies extends the QCI portfolio to help accelerate the accessibility of quantum computing for today's use cases, such as AI and optimization. This also enables quantum computing to operate at room temperatures, which is often a challenge with this type of computing.

When it comes to the finance use case, one way to understand how to pivot from classical to quantum computing is to think through how algorithms work.

For example, take a traditional investor model. With a financial algorithm, you must understand and look at predefined user parameters, such as investment goals, risk tolerances and diversity of funds. In this scenario, the investor wants to understand the user's investment preferences and risk tolerances. This data is "parameterized" -- meaning variables are created and passed on to the quantum computing model, which could use an artificial intelligence model employed by the quantum-compliant Monte Carlo algorithm or other techniques to process the investor's instructions, analyze the global asset-universe stochastic data and produce corresponding investor-inquiry output results.

Another emerging focus or concept coming out of the investor model is enabling users to autonomously process and analyze stochastic financial asset data. An interface -- proprietary or not -- could enable users to provide predefined input parameters representing their investment preferences and risk-tolerance levels, and then produce independent customized solutions for each user.

Depending on the type of user inquiry or request for analysis, a version of AI -- such as autonomous dispersion analytics or autonomous diversification and allocation machine learning -- could deploy to process the instructions and analyze asset stochastic data. This process would be very difficult to achieve in classical computing environments.

As IBM chief quantum exponent Robert Sutor explained in a blog post from last July, "Quantum computers will solve some problems that are completely impractical for classical computers." This indicates that organizations plan to adopt quantum into their existing environments.

"[QCI is committed to be the] democratizing force that empowers non-quantum experts to realize quantum value," said Robert Liscouski, CEO of QCI. The recent acquisition of QPhoton accelerates this ease-of-use approach.

Here are some thoughts to consider:

Although it is still early days for quantum computing, vendors in this area -- such as HPE, Dell and IBM -- are seeing some interesting use cases, and they are exploring them with partners and customers. If they can couple quantum computers with HPC systems, hey believe quantum computers can accelerate certain workloads. In this model, quantum computing can become an accelerator attached to a standard HPC system.

So, who in corporate IT is buying quantum solutions? According to quantum companies, data scientists in education, scientist labs and researchers are the primary users, while common buyers include airline businesses, financial institutions and academia. The conversations focus on the top five applications for initial quantum, which include but are not limited to the following targeted sectors: optimization, research, crypto, finance, materials science and healthcare.

Microsoft is making headway with Azure Quantum without a huge investment of hardware. These emulators also have a consortium of companies backing them. QCI, Honeywell, Toshiba, IonQ and iCloud are vendors that discussed their approach, using Azure to achieve their goals.

Google Quantum AI is mostly based on a simulator, but its progress has slowed down since its initial launch in 2019. The Sycamore computer shows potential but is still in its early stage. Amazon Web Services has a quantum computing center focused on R&D, testing and operating quantum processors to innovate and scale tech to support new, large-scale initiatives.

Quantum defines its growth by three horizons:

The promise of the quantum computer has been coming for a long time -- and the concept is now becoming a reality. The use of scaling of qubits in real-world environments is showing real potential.

According to Investopedia, "Quantum computing is an area of computing focused on developing computer technology based on the principles of quantum theory (which explains the behavior of energy and material on the atomic and subatomic levels)." When we look at today's computers, they are designed to encode information in bits that use values of 1 or 0, therefore restricting their ability to achieve this next level of processing. Quantum is a completely new way of computing that differs significantly from what we do today on traditional classical systems.

There are many companies trying to get in front of this "wave" because quantum processing is incredibly fast. Solving today's problems would be completed in a fraction of time. However, not all use cases work with quantum. The traditional systems coexist with quantum systems now and will continue to do so in the future.

ESG is a division of TechTarget.

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What's the current state of quantum computing? - TechTarget

Qubits are a basic building block for quantum computers, but theyre also notoriously fragiletricky to observe without erasing their information in the process. Now, new research from CUBoulder and the National Institute of Standards and Technology (NIST) may be a leap forward for handling qubits with a light touch.

In the study, a team of physicists demonstrated that it could read out the signals from a type of qubit called a superconducting qubit using laser lightand without destroying the qubit at the same time.

Artist's depiction of an electro-optic transducer, an ultra-thin devicethat can capture and transform the signals coming from a superconducting qubit. (Credit: Steven Burrows/JILA)

The groups results could be a major step toward building a quantum internet, the researchers say. Such a network would link up dozens or even hundreds of quantum chips, allowing engineers to solve problems that are beyond the reach of even the fastest supercomputers around today. They could also, theoretically, use a similar set of tools to send unbreakable codes over long distances.

The study, published June 15 in the journal Nature, was led by JILA, a joint research institute between CU Boulder and NIST.

Currently, theres no way to send quantum signals between distant superconducting processors like we send signals between two classical computers, said Robert Delaney, lead author of the study and a former graduate student at JILA.

Quantum computers, which run on qubits,get their power by tapping into the properties of quantum physics, or the physics governing very small things. Delaney explained the traditional bits that run your laptop are pretty limited: They can only take on a value of zero or one, the numbers that underly most computer programming to date. Qubits, in contrast, can be zeros, ones or, through a property called superposition, exist as zeros and ones at the same time.

But working with qubits is also a bit like trying to catch a snowflake in your warm hand. Even the tiniest disturbance can collapse that superposition, causing them to look like normal bits.

In the new study, Delaney and his colleagues showed they could get around that fragility. The team uses a wafer-thin piece of silicon and nitrogen to transform the signal coming out of a superconducting qubit into visible lightthe same sort of light that already carries digital signals from city to city through fiberoptic cables.

Researchers have done experiments to extract optical light from a qubit, but not disrupting the qubit in the process is a challenge, said study co-author Cindy Regal, JILA fellow and associate professor of physics at CU Boulder.

There are a lot of different ways to make a qubit, she added.

Some scientists have assembled qubits by trapping an atom in laser light. Others have experimented with embedding qubits into diamonds and other crystals. Companies like IBM and Google have begun designing quantum computer chips using qubits made from superconductors.

A quantum computer chip designed by IBM that includes four superconducting qubits. (Credit: npj Quantum Information,2017)

Superconductors are materials that electrons can speed around without resistance. Under the right circumstances, superconductors will emit quantum signals in the form of tiny particles of light, or photons, that oscillate at microwave frequencies.

And thats where the problem starts, Delaney said.

To send those kinds of quantum signals over long distances, researchers would first need to convert microwave photons into visible light, or optical, photonswhich can whiz in relative safety through networks fiberoptic cables across town or even between cities. But when it comes to quantum computers, achieving that transformation is tricky, said study co-author Konrad Lehnert.

In part, thats because one of the main tools you need to turn microwave photons into optical photons is laser light, and lasers are the nemesis of superconducting qubits. If even one stray photon from a laser beam hits your qubit, it will erase completely.

The fragility of qubits and the essential incompatibility between superconductors and laser light makes usually prevents this kind of readout, said Lehnert, a NIST and JILA fellow.

To get around that obstacle, the team turned to a go-between: a thin piece of material called an electro-optic transducer.

Delaney explained the team begins by zapping that wafer, which is too small to see without a microscope, with laser light. When microwave photons from a qubit bump into the device, it wobbles and spits out more photonsbut these ones now oscillate at a completely different frequency. Microwave light goes in, and visible light comes out

In the latest study, the researchers tested their transducer using a real superconducting qubit. They discovered the thin material could achieve this switcheroo while also effectively keeping those mortal enemies, qubits and lasers, isolated from each other. In other words, none of the photons from the laser light leaked back to disrupt the superconductor.

Our electro-optic transducer does not have much effect on the qubit, Delaney said.

The team hasnt gotten to the point where it can transmit actual quantum information through its microscopic telephone booth. Among other issues, the device isnt particularly efficient yet. It takes about 500 microwave photons, on average, to produce a single visible light photon.

The researchers are currently working to improve that rate. Once they do, new possibilities may emerge in the quantum realm. Scientists could, theoretically, use a similar set of tools to send quantum signals over cables that would automatically erase their information when someone was trying to listen in. Mission Impossible made real, in other words, and all thanks to the sensitive qubit.

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What quantum information and snowflakes have in common, and what we can do about it - CU Boulder Today

SEATTLE The tech giants are locked in a race.

It might not end for another decade, and there might not be just one winner. But, at the finish line, the prize they promise is a speedy machine, a quantum computer, that will crack in minutes problems that can't be solved at all today. Builders describe revolutionary increases in computing power that will accelerate the development of artificial intelligence, help design new drugs and offer new solutions to help fight climate change.

Ready. Set. Quantum.

Relying on principles of physics and computer science, researchers are working to build a quantum computer, a machine that will go beyond the capabilities of the computers we use today by moving through information faster. Unlike the laptop screen we're used to, quantum computers display all their inner organs. Often cylindrical, the computers are an intimidating network of coils, plates, wires and bolts. And they're huge.

"We're talking about computing devices which are just unimaginable in terms of their power in what they can do," said Peter Chapman, president and CEO of IonQ, a startup in the race alongside tech giants Microsoft, Amazon, Google, IBM, Intel and Honeywell.

The companies are riding a swell of interest that could grow to $9.1 billion in revenue by 2030, according to Tractica, a market intelligence firm that studies new technologies and how humans interact with tech advancements.

Right now, each company is deciding how to structure the building blocks needed to create a quantum computer. Some rely on semiconductors, others on light. Still others, including Microsoft, have pinned their ambitions on previously unproven theories in physics.

"Bottom line, we are in very heavy experimentation mode in quantum computing, and it's fairly early days," said Chirag Dekate, who studies the industry for research firm Gartner. "We are in the 1950s state of classical computer hardware."

There's not likely to be a single moment when quantum computers start making the world-changing calculations technologists are looking forward to, said Peter McMahon, an engineering professor at Cornell University. Rather, "there's going to be a succession of milestones."

At each one, the company leading the race could change.

In October 2019, Google said it had reached "quantum supremacy," a milestone where one of its machines completed a calculation that would have taken today's most advanced computers 10,000 years. In October last year, startup IonQ went public with an initial public offering that valued the company at $2 billion. In November, IBM said it had also created a quantum processor big enough to bypass today's machines.

In March, it was Microsoft's turn.

After a false start that saw Microsoft retract some research, it said this spring it had proved the physics principles it needed to show that its theory for building a quantum computer was, in fact, possible.

"We expect to capitalize on this to do the almost unthinkable," Krysta Svore, an engineer who leads Microsoft's quantum program, said in a company post announcing the discovery. "It's never been done before. ... [Now] here's this ultimate validation that we're on the right path."

As envisioned by designers, a quantum computer uses subatomic particles like electrons instead of the streams of ones and zeros used by computers today. In doing so, a quantum computer can examine an unimaginable number of combinations of ones and zeros at once.

A quantum computer's big selling points are speed and multitasking, enabling it to solve complex problems that would trip up today's technology.

To understand the difference between classical computers (the computers we use today) and quantum computers (the computers researchers are working on), picture a maze.

Using a classical computer, you're inside the maze. You choose a path at random before realizing it's a dead end and circling back.

A quantum computer gives an aerial view of the maze, where the system can see several different paths at once and more quickly reach the exit.

"To solve the maze, maybe you have to go 1,000 times to find the right answer," said IonQ's Chapman. "In quantum computing, you get to test all these paths all at once."

Researchers imagine quantum computers being used by businesses, universities and other researchers, though some industry leaders also talk about quantum computing as a technology that will unlock new ideas our brains can't yet imagine. (It's not likely the average household will have a quantum computer room any time soon.)

Microsoft recently partnered with paints and coatings company AkzoNobel to create a "virtual laboratory" where it will test and develop sustainable products using quantum computing to overcome some of the constraints that jam up a traditional lab setting, like access to raw materials, lack of space and concerns about toxicity.

Goldman Sachs is working to use quantum computing to speed up risk evaluation done by Wall Street traders. Boeing wants to use the advanced tech to model how materials will react to different environments, while ExxonMobil has plans to use it to simulate the chemical properties of hydrogen, hoping to develop new materials that can be used to make renewable energy.

In the long run, companies are aiming for a "fault-tolerant" quantum computer that will keep operating correctly even if components go awry. To get there, researchers are focused on keeping one thing happy: the qubit.

The computers we use today to look up the best restaurants or check the weather rely on bits, a unit of information in the computing world that is usually a zero or a one. Quantum computers rely on qubits, short for quantum bits, a unit of quantum information that can be (confusingly) both zero and one at the same time.

In a classical computer, a bit flips between zero and one. In a quantum computer, a qubit can be in both states at once, allowing it to simultaneously evaluate different possibilities.

It helps to think about qubits like a spinning coin, said Jim Clarke, director of quantum hardware for Intel. (Clarke himself is so devoted to qubits he named his German shepherd after them.)

While a coin is spinning, it is briefly both heads and tails, before it lands on one side or the other. The electrons used to make quantum calculations in Intel's machines are mid-spin.

But qubits are easily disturbed by pretty much anything, including light, noise and temperature changes. "Qubits are notoriously fickle," said Chapman from IonQ. "They are the introverts of the world."

If a qubit gets too bothered, it will lose the information it is carrying, making the computer's calculations less reliable.

When computer scientists, physicists and engineers think about their quantum strategy, a lot of the discussion revolves around the best way to keep those qubits comfortable. That discussion then sparks another: What is the best way to build a qubit?

Intel is using semiconductors. Google, IBM and Amazon Web Services are using superconductors. IonQ is taking an approach that puts atoms in a vacuum sealed chamber to create something called "trapped-ion" qubits. Other companies are using light.

Microsoft is aiming to create something new. It's taking a physics-based approach to create what it calls "topological qubits." In March, it said it got one step closer by successfully demonstrating the physics behind its qubit philosophy.

But it has said that before. In 2018, a team of Microsoft-led researchers published a paper that said it had found evidence of the type of physics it was looking to prove. Last year, the group retracted the paper, writing it could "no longer claim the observation."

Since then, the Microsoft team developed a new protocol meant to "screen out false positives," said Svore, who is working on the quantum project at Microsoft's Redmond headquarters. "We are more confident than ever in our approach."

"Just like I can't prove the sun comes up tomorrow," Microsoft can't prove it can create the qubits it is hoping for, she said. But, "We've now demonstrated on multiple devices that the physics is here."

Though a competitive race, there may be more than one prize.

"All the technologies have advantages and disadvantages," said Fred Chong, a computer science professor at the University of Chicago. "A lot of these things are still evolving. Some of the technologies are good for the near-to-medium term, some of them are a little bit more in the future, some of them are very far in the future."

Determining the shortest route to get from Seattle to Portland might best be solved by one approach, while speeding up a chemical reaction might call for something different.

Most of the companies in the race today will develop "fairly credible quantum machines," Chong said, and customers will look for ways to "take advantage of their strengths and mitigate their weaknesses."

In the meantime, Amazon, Google and Microsoft are hosting quantum technology from their competitors, alongside their own, hoping to let customers play around with the tech and come up with uses that haven't yet been imagined. In the same way companies can buy cloud space and digital infrastructure technology from Amazon Web Services or Google Cloud, the tech companies now offer customers pay-as-you-go quantum computing.

"At this stage of the tech, it is important to explore different types of quantum computers," said Nadia Carlsten, former head of product at the AWS Center for Quantum Computing. "It's not clear which computer will be the best of all applicants. It's actually very likely there won't be one that's best."

Dekate, who analyzes the quantum industry for research and consulting firm Gartner, says quantum may have reached the peak of its "hype cycle."

Excitement and funding for the quantum industry has been building he said, pointing to a rising slope on a line graph. Now, it could be at a turning point, he continued, pointing to the spot right before the line graph takes a nosedive.

The hype cycle is a five phase model Gartner uses to analyze new technologies, as a way to help companies and investors decide when to get on board and when to cash out. It takes three to five years to complete the cycle if a new tech makes it through.

Predictive analytics made it to phase five, where users see real-world benefits. Autonomous vehicles are in phase three, where the original excitement wears off and early adopters are running into problems. Quantum computing is in phase two, the peak of expectations, Dekate said.

"For every industry to advance, there needs to be hype. That inspires investment," he said. "What happens in these ecosystems is end-users [like businesses and other enterprises] get carried away by extreme hype."

Some quantum companies are nearing the deadlines they originally set for themselves, while others have already passed theirs. The technology is still at least 10 years away from producing the results businesses are looking for, Dekate estimates. And investors are realizing they won't see profits anytime soon.

In the next phase of the hype cycle, Dekate predicts private investment in quantum computing will go down, public investment will go up in an attempt to make up the difference, and companies that have made promises they can no longer keep will be caught flat-footed. Mergers, consolidation and bankruptcy are likely, he said.

"The kind of macroeconomic dynamics that we're about to enter into, I think means some of these companies might not be able to survive," Dekate said. "The ecosystem is ripe for disruption: way too much fragmentation and companies overpromising and not delivering."

In other words, we could be headed toward a "quantum winter."

But, even during the funding freeze, businesses are increasingly looking for ways to use quantum computing preparing for when the technology is ready, Dekate said. While Amazon, Microsoft, Google and others are developing their quantum computers, companies like BMW, JPMorgan Chase, Goldman Sachs and Boeing are writing their list of problems for the computer to one day solve.

The real changes will come when that loop closes, Dekate said, when the tech is ready and the questions are laid out.

"At some point down the line, the classical [computing] approaches are going to stall, and are going to run into natural limitations," he said. Until then, "quantum computing will elicit excitement and, at the same time, disappointment."

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Microsoft aims to win the race to build a new kind of computer. So does Amazon - Greater Milwaukee Today | GMToday.com

QuantLR Ltd, an Israel-based Quantum Key Distribution (QKD) company, and MedOne, a leading Israeli data center service provider, have announced the successfuloperationofQuantLRs QKD system with MedOnes Data Centerinfrastructurebetween the cities ofTel Aviv andPetah Tikva.

Quantum Key Distribution (QKD) is the onlyproven technology that provides the ultimate level of security fordata in transit, includingsecurity against any attack or eavesdropping attempts by contemporary, future, classical or quantum-based computers. Another threat that is secured by QKD is a hack now- decrypt later attack where the attacker collects the data now and decrypt in a later stage. This puts a sense of urgency in the implementation of QKD.

This quantum-based technology isespeciallyimportant in a data center environment to secure the information to and from the data center, between data centers, and within the data center itself.

The announcement comes following the recent successful testthat was conducted between the MedOne Tel Aviv and MedOne Petah Tikva facilities, over a distance of more than 35km (21.7 miles). Earlier this year QuantLR managed to exchange keys over longer distances.

The test was led by Dr. Nitzan Livneh, QuantLRs CTO, and Eli Saig, MedOnes CTO.

A single fiber strand was used to carry the quantum information as well as C-band data channels, enabling quantum-safe communication for clients without dark fiber. The system created more than ten 256bit symmetric encryption keys per second, without any flaws.

A QKD solution at an affordable price is critical to solve a major upcoming problem: todays networksecurityrelies on public keycryptographythatishighly vulnerable to cracking. The vast majority of encryption keys in the commercial world are distributed via PKI, but new algorithms and advances in quantum computing will soon provide the capabilities to crack most PKI instances, including RSAand Diffie Hellman methods. This issue is well-known, and Quantum Key Distribution is widely considered the most secure solution for long-term data security, as conventional security solutions approach their end-of-life.

We are delighted to collaborate with a leading data center service provider such as MedOne. Data Centers are a very important use case for QKD and we see an increasing demand from leading players in this market, notesDr. Nitzan Livneh, CTO of QuantLR

Data security has become the most important aspect in a data center offering, and we are planning to be the first data center service provider worldwide that will offer a QKD solution to secure its clients data noted Ronnie Sadeh, CEO of MedOne.

AboutQuantLR:Headquartered in Israel, QuantLRaims to provide versatile cost-effective quantum cryptographic solutions based on quantum key distribution (QKD)technology to protect communicated data. This solution is proven to provide the ultimate level of security against any attack by contemporary, future, classical or quantum-based computers. QuantLRs solutions will be offered to the market as a component embedded within communication hardware vendor products, as well as stand-alone products.

About MedOne:MedOne leads Israels data center market, providing comprehensive hosting services to Israels largest organizations. With several underground data centers spanning over 16,000 square meters (172,000 square feet), MedOne provides hosting, backup and business continuity services with the highest SLA, resiliency and the best standard of security.

QuantLR Contact

Shlomi Cohen, shlomi[at]quantlr.com

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QuantLR Partners With MedOne to Test and Validate a QKD Solution to Protect Against Quantum Computer Attacks - StartupHub.ai

Quantum Computing Inc.

QAmplify Maximizes End-User Investment in Quantum Computing

LEESBURG, Va., June 07, 2022 (GLOBE NEWSWIRE) -- Quantum Computing Inc. (QCI'' or the Company) (NASDAQ: QUBT), a leader in accessible quantum computing, today unveiled QAmplify, a suite of quantum software technologies that expands the processing power of any current quantum computer by as much as 20x. QAmplify is capable of supercharging any quantum computer to solve real-world realistic business problems today. The Company is actively working with customers and partners in scaling the amplification capabilities of its ready-to-run Qatalyst software, which is designed to eliminate the need for complex quantum programming and runs seamlessly across a variety of quantum computers. QCI has filed for patents on QAmplify technology.

Currently there are two primary technology approaches that deliver a wide range of capabilities spanning the current Quantum Processing Unit (QPU) hardware landscape; gate model (e.g. IBM, IonQ, Rigetti, OQC, etc.) and annealing (e.g. D-Wave) quantum computers. Both are limited in the size of problems (i.e., number of variables and complexity of computations) they can process. For example, gate models can typically process from 10-120 data variables, and annealing machines can process approximately 400 variables in a simple problem set. These small problem sets restrict the size of the problems that can be solved by todays QPUs, limiting businesses ability to explore the value of quantum computing.

QCIs patent-pending QAmplify suite of powerful QPU-expansion software technologies overcomes these challenges, dramatically increasing the problem set size that each can process. The QAmplify gate model expansions demonstrated capabilities have been benchmarked at a 500% (5x) increase and the annealing expansion has been benchmarked at up to a 2,000% (20x) increase.

QAmplify maximizes end-user investment in current QPUs by allowing quantum users to transform from science experiments to solving real-world problems without waiting for the quantum hardware industry to catch up. For example, in terms of real-world applications, this means that an IBM quantum computer with QAmplify could solve a problem with over 600 variables, versus the current limit of 127 variables. A D-Wave annealing computer with QAmplify could solve an optimization with over 4,000 variables, versus the current limit of 200 for a dense matrix problem set.

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It is central to QCIs mission to deliver practical and sustainable value to the quantum computing industry, said William McGann, Chief Operating and Technology Officer of QCI. QCIs innovative software solutions deliver expansive compute capabilities for todays state-of-the-art QPU systems and offer great future scalability as those technologies continually advance. The use of our QAmplify algorithm in the 2021 BMW Group Quantum Computing Challenge for vehicle sensor optimization provided proof of performance by expanding the effective capability of the annealer by 20-fold, to 2,888 qubits.

To learn more about QCI and how Qatalyst can deliver results for your business today, visit http://www.quantumcomputinginc.com.

About Quantum Computing Inc.Quantum Computing Inc. (QCI) (NASDAQ: QUBT) is a full-spectrum quantum software and hardware company on a mission to accelerate the value of quantum computing for real-world business solutions. The company recently announced its intent to acquire QPhoton, a quantum photonics innovation company that has developed a series of quantum photonic systems (QPS). The combination of QCIs flagship ready-to-run software product, Qatalyst, with QPhotons QPS, sets QCI on a path to delivering a broadly accessible and affordable full-stack quantum solution that can be used by non-quantum experts, anywhere, for real-world industry applications. QCIs expert team in finance, computing, security, mathematics and physics has over a century of experience with complex technologies; from leading edge supercomputing, to massively parallel programming, to the security that protects nations. Connect with QCI on LinkedIn and @QciQuantum on Twitter. For more information about QCI, visit http://www.quantumcomputinginc.com.

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

Statements in this press release that are not descriptions of historical facts are forward-looking statements relating to future events, and as such all forward-looking statements are made pursuant to the Securities Litigation Reform Act of 1995. Statements may contain certain forward-looking statements pertaining to future anticipated or projected plans, performance and developments, as well as other statements relating to future operations and results. Any statements in this press release that are not statements of historical fact may be considered to be forward-looking statements. Words such as "may," "will," "expect," "believe," "anticipate," "estimate," "intends," "goal," "objective," "seek," "attempt," aim to, or variations of these or similar words, identify forward-looking statements. Such statements include statements regarding the Companys ability to consummate its planned acquisition of QPhoton, the anticipated benefits of such acquisition, and the Companys ability to successfully develop, market and sell its products. Factors that could cause actual results to differ materially from those in the forward-looking statements contained in this press release include, but are not limited to, the parties potential inability to consummate the proposed transaction, including as a result of a failure to satisfy closing conditions to the proposed transactions; risks that QPhoton will not be integrated successfully; failure to realize anticipated benefits of the combined operations; potential litigation relating to the proposed transaction and disruptions from the proposed transaction that could harm the Companys or QPhotons business; ability to retain key personnel; the potential impact of announcement or consummation of the proposed transaction on relationships with third parties, including customers, employees and competitors; conditions in the capital markets; and those risks described in Item 1A in the Companys Annual Report on Form 10-K for the year ended December 31, 2021, which is expressly incorporated herein by reference, and other factors as may periodically be described in the Companys filings with the SEC. The Company undertakes no obligation to update or revise forward-looking statements to reflect changed conditions.

Qatalyst is the trademark of Quantum Computing Inc. All other trademarks are the property of their respective owners.

Company Contact:Robert Liscouski, CEOQuantum Computing, Inc.+1 (703) 436-2161Email Contact

Investor Relations Contact:Ron Both or Grant StudeCMA Investor Relations+1 (949) 432-7566Email Contact

Media Relations Contact:Seth MenackerFusion Public Relations+1 (201) 638-7561qci@fusionpr.com

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Quantum Computing Inc. Unveils Software Breakthrough That Amplifies Quantum Computer Processing Power By Up to 20x - Yahoo Finance