Archive for the ‘Quantum Computing’ Category

Quantum computing: Photon startup lights up the future of computers and cryptography – ZDNet

A fast-growing UK startup is quietly making strides in the promising field of quantum photonics. Cambridge-based company Nu Quantum is building devices that can emit and detect quantum particles of light, called single photons. With a freshly secured 2.1 million ($2.71 million) seed investment, these devices could one day underpin sophisticated quantum photonic systems, for applications ranging from quantum communications to quantum computing.

The company is developing high-performance light-emitting and light-detecting components, which operate at the single-photon level and at ambient temperature, and is building a business based on the combination of quantum optics, semiconductor photonics, and information theory, spun out of the University of Cambridge after eight years of research at the Cavendish Laboratory.

"Any quantum photonic system will start with a source of single photons, and end with a detector of single photons," Carmen Palacios-Berraquero, the CEO of Nu Quantum, tells ZDNet. "These technologies are different things, but we are bringing them together as two ends of a system. Being able to controllably do that is our main focus."

SEE: Hiring Kit: Computer Hardware Engineer (TechRepublic Premium)

As Palacios-Berraquero stresses, even generating single quantum particles of light is very technically demanding.

In fact, even the few quantum computers that exist today, which were designed by companies such as Google and IBM, rely on the quantum states of matter, rather than light. In other words, the superconducting qubits that can be found in those tech giants' devices rely on electrons, not photons.

Yet the superconducting qubits found in current quantum computers are, famously, very unstable. The devices have to operate in temperatures colder than those found in deep space to function, because thermal vibrations can cause qubits to fall from their quantum state. On top of impracticality, this also means that it is a huge challenge to scale up the number of qubits in the computer.

A photonic quantum computer could have huge advantages over its matter-based counterpart. Photons are much less prone to interact with their environment, which means they can retain their quantum state for much longer and over long distances. A photonic quantum computer could, in theory, operate at room temperature and as a result, scale up much faster.

The whole challenge comes from creating the first quantum photon, explains Palacios-Berraquero. "Being able to emit one photon at a time is a ground-breaking achievement. In fact, it has become the Holy Grail of quantum optics."

"But I worked on generating single photons for my PhD. That's the IP I brought to the table."

Carmen Palacios-Berraquero and the Nu Quantum team just secured a 2.1 million ($2.71 million) seed investment.

Combined with improved technologies in the fields of nanoscale semi-conductor fabrication, Palacios-Berraquero and her team set off to crack the single-photon generation problem.

Nu Quantum's products come in the form of two little boxes: the first one generates the single photons that can be used to build quantum systems for various applications, and the other measures the quantum signals emitted by the first one. The technology, maintains the startup CEO, is bringing quantum one step closer to commercialization and adoption.

"Between the source and the detector of single photons, many things can happen, from the simplest to the most complex," explains Palacios-Berraquero. "The most complex one being a photonic quantum computer, in which you have thousands of photons on one side and thousands of detectors on the other. And in the middle, of course, you have gates, and entanglement, and and, and and. But that's the most complex example."

A photonic quantum computer is still a very long-term ambition of the startup CEO. A simpler application, which Nu Quantum is already working on delivering commercially with the UK's National Physical Laboratory, is quantum random number generation a technology that can significantly boost the security of cryptographic keys that secure data.

The keys that are currently used to encrypt the data exchanged between two parties are generated thanks to classical algorithms. Classical computing is deterministic: a given input will always produce the same output, meaning that complete randomness is fundamentally impossible. As a result, classical algorithms are predictable to an extent. In cryptography, this means that security keys can be cracked fairly easily, given sufficient computing power.

Not so much with quantum. A fundamental property of quantum photons is that they behave randomly: for example, if a single photon is sent down a path that separates in two ways, there is no way of knowing deterministically which way the particle will choose to go through.

SEE: What is the quantum internet? Everything you need to know about the weird future of quantum networks

The technology that Nu Quantum is developing with the National Physical Laboratory, therefore, consists of a source of single photons, two detectors, and a two-way path linking the three devices. "If we say the right detector is a 1, and the left detector is a 0, you end up with a string of numbers that's totally random," says Palacios-Berraquero. "The more random, the more unpredictable the key is, and the more secure the encryption."

Nu Quantum is now focusing on commercializing quantum random number generation, but the objective is to build up systems that are increasingly complex as the technology improves. Palacios-Berraquero expects that in four or five years, the company will be able to start focusing on the next step.

One day, she hopes, Nu Quantum's devices could be used to connect quantum devices in a quantum internet a decade-long project contemplated by scientists in the US, the EU, and China, which would tap the laws of quantum mechanics to almost literally teleport some quantum information from one quantum device to the next. Doing so is likely to require single photons to be generated and distributed between senders and receivers, because of the light particles' capacity to travel longer distances.

In the shorter term, the startup will be focusing on investing the seed money it has just raised. On the radar, is a brand-new lab and headquarters in Cambridge, and tripling the size of the team with a recruitment drive for scientists, product team members and business functions.

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Quantum computing: Photon startup lights up the future of computers and cryptography - ZDNet

12 European Companies and Research Labs Join Forces to Boost Industrial Quantum Computing Applications – HPCwire

LES CLAYES, France, Oct. 5 2020 The NExt ApplicationS of Quantum Computing (NEASQC) project brings together a multidisciplinary consortium of academic and industry experts in Quantum Computing, High Performance Computing, Artificial Intelligence, chemistry and energy management. NEASQC aims to demonstrate that, though the millions of qubits that will guarantee fully fault-tolerant quantum computing are still far away, there are practical use cases for the NISQ (Noisy Intermediate- Scale Quantum) devices that will be available in the near future. NISQ computing can deliver significant advantages when running certain applications, thus bringing game-changing benefits to users, and particularly industrial users.

The NEASQC consortium has chosen 9 NISQ-compatible industrial and financial use-cases, and will develop new quantum software techniques to solve those use-cases with a practical quantum advantage.

The ultimate ambition of NEASQC is to encourage European user communities to investigate NISQ quantum computing. For this purpose, the project consortium will define and make available a complete and common toolset that new industrial actors can use to start their own practical investigation and share their results. explained Cyril Allouche, Fellow, VP, Head of the Atos Quantum R&D Program at Atos, and coordinator of the NEASQC project.

NEASQC also aims to build a much-needed bridge between Quantum Computing hardware activities, particularly those of the European Quantum Flagship, and the end-user community. Even more than in classical IT, NISQ computing demands a strong cooperation between hardware teams and software users. We expect our work in use cases will provide strong directions for the development of NISQ machines, what will be very valuable to the nascent quantum hardware industry.

The NEASQC project gathers 12 organisations from 8 European countries and is coordinated by Atos. The 4-year project has a budget of 4.67 million Euros, funded by the European Commission under the Horizon 2020 programme. It was launched on 5 October with an online kick-off meeting that virtually gathered representatives of all consortium members.

NEASQC objectives

1. Develop 9 industrial and financial use cases with a practical quantum advantage for NISQ machines.2. Develop open source NISQ programming libraries for industrial use cases, with a view to facilitate quantum computing experimentation for new users.3. Build and share knowledge with a strong user community dedicated to industrial NISQ applications.4. Develop software stacks and benchmarks for the Quantum Technology Flagship

About the NEASQC project

The NEASQC project brings together academic experts and industrial end-users to investigate and develop a new breed of Quantum-enabled applications that can take advantage of NISQ systems in the near future. NEASQC is use-case driven, addressing practical problems such as drug discovery, CO2 capture, energy management, natural language processing, breast cancer detection, probabilistic risk assessment for energy infrastructures, or hydrocarbon well optimisation. NEASQC aims to initiate an active European community around NISQ Quantum Computing by providing a common toolset that will attract new industrial users.

The NEASQC project is run by a European consortium that includes:

NEASQC is one of the projects selected within the second wave of Quantum Flagship projects and will be included with the Quantum Computing Application Area. This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 951821

The Quantum Flagship was launched in 2018 as one of the largest and most ambitious research initiatives of the European Union. With a budget of at least 1 billion and a duration of 10 years, the flagship brings together research institutions, academia, industry, enterprises, and policy makers, in a joint and collaborative initiative on an unprecedented scale. The main objective of the flagship is to consolidate and expand European scientific leadership and excellence in this research area as well as to transfer quantum physics research from the lab to the market by means of commercial applications and disruptive technologies. With over 5000 researchers from academia and industry involved in this initiative throughout its lifetime, it aims to create the next generation of disruptive technologies that will impact Europes society, placing the region as a worldwide knowledge-based industry and technological leader in this field.

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Algorithm Fast-Forwards Quantum Simulations To Solve Out-of-Reach Problems – Technology Networks

A new algorithm that fast forwards simulations could bring greater use ability to current and near-term quantum computers, opening the way for applications to run past strict time limits that hamper many quantum calculations.

"Quantum computers have a limited time to perform calculations before their useful quantum nature, which we call coherence, breaks down," said Andrew Sornborger of the Computer, Computational, and Statistical Sciences division at Los Alamos National Laboratory, and senior author on a paper announcing the research. "With a new algorithm we have developed and tested, we will be able to fast forward quantum simulations to solve problems that were previously out of reach."

Computers built of quantum components, known as qubits, can potentially solve extremely difficult problems that exceed the capabilities of even the most powerful modern supercomputers. Applications include faster analysis of large data sets, drug development, and unraveling the mysteries of superconductivity, to name a few of the possibilities that could lead to major technological and scientific breakthroughs in the near future.

Recent experiments have demonstrated the potential for quantum computers to solve problems in seconds that would take the best conventional computer millennia to complete. The challenge remains, however, to ensure a quantum computer can run meaningful simulations before quantum coherence breaks down.

"We use machine learning to create a quantum circuit that can approximate a large number of quantum simulation operations all at once," said Sornborger. "The result is a quantum simulator that replaces a sequence of calculations with a single, rapid operation that can complete before quantum coherence breaks down."

The Variational Fast Forwarding (VFF) algorithm that the Los Alamos researchers developed is a hybrid combining aspects of classical and quantum computing. Although well-established theorems exclude the potential of general fast forwarding with absolute fidelity for arbitrary quantum simulations, the researchers get around the problem by tolerating small calculation errors for intermediate times in order to provide useful, if slightly imperfect, predictions.

In principle, the approach allows scientists to quantum-mechanically simulate a system for as long as they like. Practically speaking, the errors that build up as simulation times increase limits potential calculations. Still, the algorithm allows simulations far beyond the time scales that quantum computers can achieve without the VFF algorithm.

One quirk of the process is that it takes twice as many qubits to fast forward a calculation than would make up the quantum computer being fast forwarded. In the newly published paper, for example, the research group confirmed their approach by implementing a VFF algorithm on a two qubit computer to fast forward the calculations that would be performed in a one qubit quantum simulation.

In future work, the Los Alamos researchers plan to explore the limits of the VFF algorithm by increasing the number of qubits they fast forward, and checking the extent to which they can fast forward systems. The research was published September 18, 2020 in the journal npj Quantum Information.

Reference: Crstoiu C, Holmes Z, Iosue J, Cincio L, Coles PJ, Sornborger A. Variational fast forwarding for quantum simulation beyond the coherence time. npj Quantum Information. 2020;6(1):1-10. doi:10.1038/s41534-020-00302-0

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.

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Algorithm Fast-Forwards Quantum Simulations To Solve Out-of-Reach Problems - Technology Networks

Bring On The Qubits: How The Quantum Computing Arms Race Affects Legal – Technology – United States – Mondaq News Alerts

30 September 2020

L2 Counsel

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Both the hardware and algorithms have a long way to go untilthey grace our environments. Quantum computing is not anunattainable innovation, though-it is real enough and, therefore,reachable enough to merit consideration of implications now.

Since its beginnings as a theory developed independently byAmerican physicists Paul Benioff and Richard Feynman and Russianmathematician Yuri Manin, quantum computing has been in a perpetualstate of scientific discovery. It sometimes reaches proof ofprinciple on an approach but has never overcome the engineeringchallenges to move forward. That is, until now. Welcome to KlausSchwab'sfourth industrial revolution, where quantumcomputing is one of the emerging technologies that willfundamentally alter the way we live, work, and relate to oneanother.

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The content of this article is intended to provide a generalguide to the subject matter. Specialist advice should be soughtabout your specific circumstances.

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Google’s Billion Dollar News, Commercial Quantum Computers And More In This Week’s Top News – Analytics India Magazine

The Dutch and the Finnish are doing their part in shedding the dystopian sci-fi rep that AI gets usually. These European nations often show up on the top when it comes to initiatives that take the human aspect seriously. Now they are at it again. Amsterdam and Helsinki are making moves to make sure that transparency of AI applications is established. Not only that but these cities want their citizens to play an active role going forward. In what can be a more sci-fi sounding announcement, quantum computing industry leader DWave opens up their tech for business applications making it the first to do so. There is more to news, thanks to Google and find out why in this weeks top news brought to you by Analytics India Magazine.

VMware and NVIDIA are coming together to offer an end-to-end enterprise platform for AI along with a new architecture for data center, cloud and edge; services that use NVIDIAs DPUs. We are partnering with NVIDIA to bring AI to every enterprise; a true democratization of one of the most powerful technologies, said Pat Gelsinger, CEO of VMware.

The full stack of AI software available on the NVIDIA NGCTM hub will be integrated into VMware vSphere, VMware Cloud Foundation and VMware Tanzu. This in turn will help accelerate AI adoption across the industru and allows enterprises to deploy AI-ready infrastructure across the data centers, cloud and edge.

On Thursday, Googles CEO Sundar Pichai announced that they would be sparing $1 billion for enabling high quality journalism. In a blog post penned by Pichai, underlined Googles mission to organize the worlds information and make it universally accessible and useful. Googles News Showcase features the editorial curation of award-winning newsrooms to give readers more insight on the stories that matter, and in the process, helps publishers develop deeper relationships with their audiences. Google has already signed partnerships for News Showcase with nearly 200 leading publications across Germany, Brazil, Argentina, Canada, the U.K. and Australia and will soon be expanding to India, Belgium and the Netherlands.

On Tuesday, D-Wave Systems, the Canadian quantum computing company announced the general availability of its next-gen quantum computing platform that flaunt new hardware, software, and tools to enable and accelerate the delivery of in-production quantum computing applications. The company stated that the platform is available in the Leap quantum cloud service and includes the Advantage quantum system, with more than 5000 qubits and 15-way qubit connectivity. In addition to this, there is an expanded hybrid solver service that can run problems with up to one million variables. Together, these services enables users to scale to address real-world problems with enabling businesses to run real-time quantum applications for the first time.

The PyTorch has announced that developers can leverage its libraries on Cloud TPUs. The XLA library, SAID pYtoRCH, has reached general availability (GA) on Google Cloud and supports a broad set of entry points for developers. It has a fast-growing community of researchers from MIT, Salesforce Research, Allen AI and elsewhere who train a wide range of models accelerated with Cloud TPUs and Cloud TPU Pods.

According to PyTorch, the aim of this project was to make it as easy as possible for the PyTorch community to leverage the high performance capabilities that Cloud TPUs offer while maintaining the dynamic PyTorch user experience. To enable this workflow, the team created PyTorch / XLA, a package that lets PyTorch connect to Cloud TPUs and use TPU cores as devices.

Github announced that the code scanning option, CodeQL is now generally available to all developers. With this new option developers get prompts It scans code as its created and surfaces actionable security reviews within pull requests and other GitHub experiences you use everyday, automating security as a part of your workflow. This helps ensure vulnerabilities never make it to production in the first place.Code scanning is powered by CodeQLthe worlds most powerful code analysis engine and will enable developers to use the 2,000+ CodeQL queries created by GitHub and the community, or create custom queries to easily find and prevent new security concerns.

No two palms are alike. Thats the idea behind Amazon One, a new service by the e commerce giant which allows customers to pay with their palm. Contactless payments were all the rage this pandemic and Amazon wants to step up their technology at one of their stores. All you need is a credit card, your mobile number, and of course, your palm. Once youre signed up, you can use your palm to enter, identify, and pay where Amazon One is available. Governments around the world started to ease the restrictions for public spaces like malls and stadiums and services like Amazon One might see a huge rise in demand because touching surfaces is so 2019!

On Monday, Amsterdam and Helsinki launched AI registries to detail how the respective governments use algorithms to deliver services. AI Register is a window into the artificial intelligence systems used by these cities through the register, citizens can get acquainted with the quick overviews of the citys artificial intelligence systems or examine their more detailed information based on your own interests. They can also give feedback and thus participate in building human-centred AI.

I have a master's degree in Robotics and I write about machine learning advancements.email:ram.sagar@analyticsindiamag.com

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Google's Billion Dollar News, Commercial Quantum Computers And More In This Week's Top News - Analytics India Magazine