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Southampton to drive UK Quantum computing capability

The University of Southampton has been awarded around 32million to launch two research centres that will work to develop the future of quantum computing and boost UK defence expertise. Announced by the Engineering and Physical Sciences Research Council (EPSRC), the funding will be provided by the government, industry giants and small and medium sized enterprises along with some matching support from Southampton.

The centres intend to train PhD students to increase the talent pool of skilled innovators needed for Britains quantum technology and defence sectors.

The 18million EPSRC-funded Centre for Doctoral Training in Quantum Technology Engineering will receive funding from tech businesses including Microsoft, QinetiQ, Riverlane and Oxford Ionics.

Its directorDr Tim Freegarde from the University of Southampton, said the centre will be a crucial part of government plans to transform Britain into a quantum-enabled economy by 2033.

He added: Within 10 to twenty years, quantum technologies will be affecting our lives in diverse ways from faster mobile data and banking security to GPS-free navigation and locating pipes beneath the road.

"Our training centre will develop a new generation of graduates with the knowledge, skills and awareness needed to engineer new quantum technologies and put the UK at the forefront of the worlds quantum industry."

The two new centres opening in Southampton are among 65 announced byUK Research and Innovation (UKRI) to train 4,000 PhD students across the next 10 years.

The 12.5 million Centre for Complex Integrated Systems for Defence and Security will train the next generation of leaders and experts needed to support UK safety and resilience. It will be funded by EPSRC, the Ministry of Defence and numerous industry partners, bringing together graduates and former military and policing personnel, said centre director Professor Jordan Cheer.

A strong defence and security industry is vital for the UK, and our centre will train a new generation who will work to keep Britains future safe.

"We are opening places to graduates, current sector employers and those transitioning from serving military or policing roles to drive forward research that will develop the complex technologies needed for the modern defence and security of our country.

Experts from the University of Southampton have also been awarded funding for two additional doctoral training centres one on mathematics for the future climate, hosted at Imperial College London, and another on acoustics at the University of Salford.

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Southampton to drive UK Quantum computing capability - Labmate Online

Under the leadership of Don Towsley, a Distinguished Professor at the Manning College of Information and Computer Sciences (CICS), the team are responsible for designing the infrastructure to support future city-scale quantum networks, an effort overseen by the Center for Quantum Networks.

The project is back by $26m in funding and is a five-year, renewable effort led by the University of Arizona, one of the National Science Foundations Engineering Research Centers.

Quantum computing differs fundamentally from the bit-based computing we all do every day. A bit is typically expressed as a 0 or a 1 and represents an electrical current that is off or on.

Bits are the basis for all the software, websites and emails that make up our electronic world. Even the simplest digital artefacts are composed of thousands of them.

By contrast, quantum computing relies on quantum bits or qubits, which are like regular bits except that they represent particles in a quantum state. Matter in a quantum state behaves very differently, so qubits arent relegated to being only 0 or 1, on or off.

That difference in their behaviour opens up a range of possibilities for quantum networking. However, according to Stefan Krastanov, assistant professor of information and computer sciences at UMass Amherst and one of the researchers helping to design the quantum network, they are not magical.

He said: For many computing problems, quantum computers are no more powerful than conventional ones.

However, for a growing family of important problems like drug discovery, cryptography and scientific simulations, only quantum algorithms have a chance of providing solutions.

One of the strange aspects of the quantum state is that matter can be entangled.

Entangling quantum computers over a quantum internet could provide unparalleled digital security one of the main applications of the Center for Quantum Networks research and vastly increase the computing power of todays most powerful machines.

But for this to happen, a secure quantum network must exist that can link quantum computers and transmit entangled qubits.

Towsley explained: The problem is that quantum information is incredibly fragile and very sensitive to environmental noise, such as heat.

This requires the careful design of a network architecture, algorithms and protocols to protect against this noise.

Towsley and his UMass colleagues, including Krastanov and Filip Rozpedek, assistant professor of information and computer science, as well as Taqi Raza, assistant professor of electrical and computer engineering in the College of Engineering, are working out how to send qubits without the risk of their loss or decay in a secure way.

Security cuts across all the various specialities that must contribute to a successful quantum network. We are working to embed security principles in quantum networks from the start, Raza stated.

Thanks to a seed fund created by anonymous donors, including a gift of $5m, Towsley is leading the creation of a UMass Amherst Center of Excellence to support research in quantum information systems that will work to develop a quantum internet and to provide network security to connect quantum computers.

Our role as a core institution in the NSF Center for Quantum Networks is part of a broader, growing interdisciplinary initiative in quantum networking systems here at UMass, involving faculty and researchers in CICS, Electrical and Computer Engineering, and Physics in the College of Natural Sciences, concluded Sanjay Raman, Dean of the College of Engineering.

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Center for Quantum Networks welcomes UMASS Amherst in $26m quantum networking deal - Innovation News Network

If youre searching for undervalued quantum computing stocks to add to your portfolio this month, look no further. Never before in human history has technology progressed at the rate seen today. In just two decades, human civilization went from miniaturizing the computer to AI software aggregating data across the internet. With advancements in physics, humanity now harnesses the computational power of the smallest subatomic particles.

These breakthroughs enable the current state of quantum computing, where the limitations of processing hardware are pushed every single day. As a technology, however, quantum computing still has not found many mainstream applications, and thrives in the realm of research.

Yet the sheer level of investment by tech giants, such as Google (NASDAQ:GOOG, NASDAQ:GOOGL), Microsoft (NASDAQ:MSFT) and Amazon (NASDAQ:AMZN), hints at its tremendous potential. Now, for investors, the key to success lies in finding the undervalued quantum computing stocks on the market today. Here are three stocks with strong potential, competing for a share of the $42 billion future of the quantum market.

Source: Shutterstock

One of the best ways to assess a companys potential comes from predicting future applications of its current products. For Rigetti Computing (NASDAQ:RGTI), its focus on quantum integrated circuits means that it could become especially valuable. Thats because integrated circuits are essentially like specialized microchips, custom built to the computer they are installed on.

This approach means that Rigetti primarily focuses on developing research in hardware, software, and user interfaces for its products. As such, once Rigettis customer base grows alongside quantum computing demand, the company will have full-stack control over its products. Once customers begin rolling in, RGTI will be able to use this multi-layered approach to diversify its revenue streams.

Thanks to RGTIs early presence in quantum computing, it stands ready for a potential boom, pending breakthroughs in the field. Moreover, with its current price around $2, RGTI could be one of the most undervalued quantum computing stocks available.

Source: Bartlomiej K. Wroblewski / Shutterstock.com

Specializing in a type of sensor computing known as integrated photonics, Quantum Computing, Inc. (NASDAQ:QUBT) occupies a niche of quantum mechanics. By leveraging the quantum mechanical properties of light, QUBT has positioned itself as a premier researcher with partners such as NASA and Los Alamos.

The companys small size and short tenure make adding it to an investment portfolio a serious decision. Much of the technology the company produces targets highly specific research rather than commercial applications. Therefore, the long-term growth of this company is more tied to government interest in spending on quantum mechanics research.

For investors however, this one is worth keeping an eye on. Thats because it is one of the few companies to offer a highly specialized product in a relatively new market. Despite operational losses and lacking experience, QUBTs position could shift rapidly depending on the decisions of the U.S. government.

Source: Amin Van / Shutterstock.com

Perhaps one of the best undervalued quantum computing stocks on the market today, IonQ (NASDAQ:IONQ) offers multiple commercially available quantum computers. Unlike other companies that focus on using light or superconducting qubits, IonQ uses atomic ions and electromagnetism to perform calculations.

By using this form of quantum computing, IonQ offers some of the most stable and maintainable quantum computing patterns. Thus, its products are capable of solving complex calculations over extended periods of time. Furthermore, this type of quantum computing is easier to scale than others. To customers, this means products custom tailored to the needs of different projects.

The company also offers software and training specific to all of the projects mentioned above. It also maintains $456 million cash balance as of March 2024, and customers across all major cloud computing services. Bearing all of this in mind, IonQ might just be the best of the undervalued quantum computing stocks today.

On the date of publication, Viktor Zarevdid not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

Viktor Zarev is a scientist, researcher, and writer specializing in explaining the complex world of technology stocks through dedication to accuracy and understanding.

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The 3 Most Undervalued Quantum Computing Stocks to Buy in March 2024 - InvestorPlace

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Quantum is set to be the next frontier of computing. But it is an immense undertaking that has yet to be fully realized; researchers continue to face challenges in a multitude of areas including error correction, scalability, cost and hardware and software complex and capable enough to handle extremely high-performance simulations.

To support and accelerate scientific exploration into this next phase of computing, Nvidia today launched Quantum Cloud, which allows users to build and test new quantum apps and algorithms in the cloud.

The microservice is based on Nvidias open-source CUDA-Q quantum computing platform, which the company says is used by three-quarters of the companies deploying quantum processing units (QPUs).

Quantum computing presents the next revolutionary frontier of computing, said Tim Costa, Nvidias director of HPC and quantum computing. Its going to require the worlds most brilliant minds to bring this future one step closer.

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The new Nvidia Quantum Cloud is intended to accelerate scientific exploration, the company says. Its capabilities include:

Nvidia Quantum Cloud intends to break down the barriers to explore this transformative technology, said Costa. The goal is to help every scientist in the world harness the power of quantum computing and bring their ideas closer to reality.

Nvidia says it has 160 partners in quantum computing and many top tech companies and quantum companies are incorporating Quantum Cloud into their services including Google Cloud, Microsoft Azure, Oracle Cloud, IonQ, IQM Quantum Computers, OQC, ORCA Computing, qBraid and Quantinuum.

At HSBC, for instance, researchers designed a quantum machine learning (ML) application that can detect digital payment fraud. This simulated a whopping 165 qubits on Nvidia GPUs typically, projects dont extend beyond 40 of these fundamental calculating units.

The researchers were able to overcome challenges with scale thanks to ML techniques implemented with CUDA Quantum and cuTensorNet software on Nvidia GPUs, according to the company.

Nvidia is further working with nearly two dozen universities to help train the next generation of computer scientists. This involves designing curricula and teaching materials around CUDA Quantum. The company also recently co-sponsored the quantum hackathon QHack, whose winning team from Indian company Qkrishi used CUDA Quantum to develop an algorithm to simulate a material critical to designing better batteries.

Bridging the divide between traditional computers and quantum systems is essential to the future of computing, Theresa Mayer, VP for research at Carnegie Mellon University, said in a statement. Nvidias partnership with her school and others aims to help students and researchers navigate and excel in this emerging hybrid environment.

Nvidias CUDA Quantum and other systems are being used for a multitude of other quantum efforts, as well, the company reports.

These include:

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Beyond AI: How Nvidia is helping scale quantum computing - VentureBeat

Machine learning is used for prediction, and in health care we want to predict if somebody has a disease or not, he said. If you give enough examples of images that have pneumonia and not pneumonia, because there are two cases, this is called binary classification.

Tayur and a team of researchers studied a technique called support vector machine for classification using quantum-inspired computing, then compared it to other methodsin a recent paper.

We showed that it is pretty competitive, he said. It makes fewer mistakes and it takes less time.

Tayur founded theQuantum Technologies Group(opens in new window) at CMU to better understand and apply quantum computing methods to industries such as health care.

People are always looking for more efficient ways of solving problems and novel methods and technologies to tackle it, he said.

In the mid-20th century, scientists who led the first quantum revolution changed the world with innovations such as the transistor, laser and atomic clock. While hardware to compute using qubits is still in development, simulators are capable of tackling problems of realistic size with specially tailored algorithms, which is why this approach is known as quantum-inspired computing.

Assuming that qubit devices of larger size and lower errors are going to be developed, we can simulate them on a regular computer right now, Tayur said.

These technologies, however, are still at the leading edge of considerations when it comes to the application of artificial intelligence in health care.

In order to do so, the industry has four challenges ahead of it, as Tayurdescribed in research(opens in new window) with Tinglong Dai of Johns Hopkins Carey Business School: physician buy-in, patient acceptance, provider investment and payer support.

To achieve these goals, any AI applied to health care systems should consider how physicians will integrate it into their practices, and then review how patients perceive the role of AI in health care delivery.

We wrote that paper in 2022, but things havent changed that much. Its not just about building a better mousetrap, its about getting people to use that mousetrap, he said, referencinga long-held business idea(opens in new window) that success comes from simply designing the best product.

First, as an example, Tayur explained thatmore than 500 medical AI devices(opens in new window) have been approved by the FDA, but wide adoption of these technologies is still just beginning, in part because of the state of the health care industry and where financial incentives lie.

Having a good product is necessary, but its not sufficient, he said. You still need to figure out how people are going to use it, and who is going to pay for it.

Second, a major consideration in health care is liability. When it comes to devices, a company might encourage doctors to adopt them, but what happens if the device gives a faulty diagnosis or a doctor gives an incorrect interpretation of the data from the device?

In the paper, we basically talk about the fact that you have to figure out the business case, both risk and reward, along with training and upfront investments in adopting the technology, he said.

In applying elements of AI and quantum computing to health care, Tayur said while at least some progress has been made, there is still a long way to go.

Many times what happens is a lot of the AI in health care is derived by scientists and research physicians, he said. What they need is a business person who is less enamored by the mousetrap and more sensitive to the patient journey and commercial viability.

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Machine Learning, Quantum Computing Can Transform Health Care, Including Diagnosing Pneumonia - Carnegie Mellon University