Category Archives: Quantum Computing
Old computer technology points the way to future of quantum computing – Alberta Prime Times
VANCOUVER Researchers have made a breakthrough in quantum technology development that has the potential to leave todays supercomputers in the dust, opening the door to advances in fields including medicine, chemistry, cybersecurity and others that have been out of reach.
In a study published in the journal Nature on Wednesday, researchers from Simon Fraser University in British Columbia said they found a way to create quantum computing processors in silicon chips.
Principal investigator Stephanie Simmons said they illuminated tiny imperfections on the silicon chips with intense beams of light. The defects in the silicon chips act as a carrier of information, she said. While the rest of the chip transmits the light, the tiny defect reflects it back and turns into a messenger, she said.
There are many naturally occurring imperfections in silicon. Some of these imperfections can act as quantum bits, or qubits. Scientists call those kinds of imperfections spin qubits. Past research has shown that silicon can produce some of the most stable and long-lived qubits in the industry.
"These results unlock immediate opportunities to construct silicon-integrated, telecommunications-band quantum information networks," said the study.
Simmons, who is the university's Canada Research Chair in silicon quantum technologies, said the main challenge with quantum computing was being able to send information to and from qubits.
"People have worked with spin qubits, or defects, in silicon before," Simmons said. "And people have worked with photon qubits in silicon before. But nobody's brought them together like this."
Lead author Daniel Higginbottom called the breakthrough "immediately promising" because researchers achieved what was considered impossible by combining two known but parallel fields.
Silicon defects were extensively studied from the 1970s through the '90s while quantum physics has been researched for decades, said Higginbottom, who is a post-doctoral fellow at the university's physics department.
"For the longest time people didn't see any potential for optical technology in silicon defects. But we've really pioneered revisiting these and have found something with applications in quantum technology that's certainly remarkable."
Although in an embryonic stage, Simmons said quantum computing is the rock 'n' roll future of computers that can solve anything from simple algebra problems to complex pharmaceutical equations or formulas that unlock deep mysteries of space.
"We're going to be limited by our imaginations at this stage. What's really going to take off is really far outside our predictive capabilities as humans."
The advantage of using silicon chips is that they are widely available, understood and have a giant manufacturing base, she said.
"We can really get it working and we should be able to move more quickly and hopefully bring that capability mainstream much faster."
Some physicists predict quantum computers will become mainstream in about two decades, although Simmons said she thinks it will be much sooner.
In the 1950s, people thought the technology behind transistors was mainly going to be used for hearing aids, she said. No one then predicted that the physics behind a transistor could be applied to Facebook or Google, she added.
"So, we'll have to see how quantum technology plays out over decades in terms of what applications really do resonate with the public," she said. "But there is going to be a lot because people are creative, and these are fundamentally very powerful tools that we're unlocking."
This report by The Canadian Press was first published July 14, 2022.
Hina Alam, The Canadian Press
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Old computer technology points the way to future of quantum computing - Alberta Prime Times
Old computer technology points the way to future of quantum computing Terrace Standard – Terrace Standard
Researchers have made a breakthrough in quantum technology development that has the potential to leave todays supercomputers in the dust, opening the door to advances in fields including medicine, chemistry, cybersecurity and others that have been out of reach.
In a study published in the journal Nature on Wednesday, researchers from Simon Fraser University in British Columbia said they found a way to create quantum computing processors in silicon chips.
Principal investigator Stephanie Simmons said they illuminated tiny imperfections on the silicon chips with intense beams of light. The defects in the silicon chips act as a carrier of information, she said. While the rest of the chip transmits the light, the tiny defect reflects it back and turns into a messenger, she said.
There are many naturally occurring imperfections in silicon. Some of these imperfections can act as quantum bits, or qubits. Scientists call those kinds of imperfections spin qubits. Past research has shown that silicon can produce some of the most stable and long-lived qubits in the industry.
These results unlock immediate opportunities to construct silicon-integrated, telecommunications-band quantum information networks, said the study.
Simmons, who is the universitys Canada Research Chair in silicon quantum technologies, said the main challenge with quantum computing was being able to send information to and from qubits.
People have worked with spin qubits, or defects, in silicon before, Simmons said. And people have worked with photon qubits in silicon before. But nobodys brought them together like this.
Lead author Daniel Higginbottom called the breakthrough immediately promising because researchers achieved what was considered impossible by combining two known but parallel fields.
Silicon defects were extensively studied from the 1970s through the 90s while quantum physics has been researched for decades, said Higginbottom, who is a post-doctoral fellow at the universitys physics department.
For the longest time people didnt see any potential for optical technology in silicon defects. But weve really pioneered revisiting these and have found something with applications in quantum technology thats certainly remarkable.
Although in an embryonic stage, Simmons said quantum computing is the rock n roll future of computers that can solve anything from simple algebra problems to complex pharmaceutical equations or formulas that unlock deep mysteries of space.
Were going to be limited by our imaginations at this stage. Whats really going to take off is really far outside our predictive capabilities as humans.
The advantage of using silicon chips is that they are widely available, understood and have a giant manufacturing base, she said.
We can really get it working and we should be able to move more quickly and hopefully bring that capability mainstream much faster.
Some physicists predict quantum computers will become mainstream in about two decades, although Simmons said she thinks it will be much sooner.
In the 1950s, people thought the technology behind transistors was mainly going to be used for hearing aids, she said. No one then predicted that the physics behind a transistor could be applied to Facebook or Google, she added.
So, well have to see how quantum technology plays out over decades in terms of what applications really do resonate with the public, she said. But there is going to be a lot because people are creative, and these are fundamentally very powerful tools that were unlocking.
Hina Alam, The Canadian Press
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Old computer technology points the way to future of quantum computing Terrace Standard - Terrace Standard
Watch: How Abu Dhabi is ushering in a new era of computing with state-of-the-art quantum lab – Gulf News
Abu Dhabi: At the heart of Abu Dhabis science research hub in Masdar, a new era of computing is taking shape. With massive investments towards becoming a leader in the field, Abu Dhabi could well revolutionise quantum computing when a newly-developed foundry starts churning out quantum chips this summer.
With the world of computing still undecided on which platform works best to enable, and then scale up, quantum computing, chips manufactured at the laboratory will allow important experiments into the possibilities of various material and configurations.
Quantum foundry
The laboratory is part of the Quantum Research Centre, one of a number of research interests at the Technology Innovation Institute (TII), which focuses on applied research and is part of the over-arching Advanced Technology Research Council in Abu Dhabi.
TII Quantum Foundry will be the first quantum device fabrication facility in the UAE. At the moment, it is still under construction. We are installing the last of the tools needed to manufacture superconducting quantum chips. We are hoping that it will be ready soon, and hopefully by then, we can start manufacturing the first quantum chips in the UAE, Alvaro Orgaz, lead for the quantum computing control at the TIIs Quantum Research Centre, told Gulf News.
The design of quantum chips is an area of active research at the moment. We are also interested in this. So, we will manufacture our chips and install them into our quantum refrigerators, then test them and improve on each iteration of the chip, he explained.
What is quantum computing?
Classical computers process information in bits, tiny on and off switches that are encoded in zeroes and ones. In contrast, quantum computing uses qubits as the fundamental unit of information.
Unlike classical bits, qubits can take advantage of a quantum mechanical effect called superposition where they exist as 1 and 0 at the same time. One qubit cannot always be described independently of the state of the others either, in a phenomenon called entanglement. The capacity of a quantum computer increases exponentially with the number of qubits. The efficient usage of quantum entanglement drastically enhances the capacity of a quantum computer to be able to deal with challenging problems, explained Professor Dr Jos Ignacio Latorre, chief researcher at the Quantum Research Center.
Why quantum computing?
When quantum computers were first proposed in the 1980s and 1990s, the aim was to help computing for certain complex systems such as molecules that cannot be accurately depicted with classical algorithms.
Quantum effects translate well to complex computations in some fields like pharmaceuticals, material sciences, as well as optimisation processes that are important in aviation, oil and gas, the energy sector and the financial sector. In a classical computer, you can have one configuration of zeroes and ones or another. But in a quantum system, you can have many configurations of zeroes and ones processed simultaneously in a superposition state. This is the fundamental reason why quantum computers can solve some complex computational tasks more efficiently than classical computers, said Dr Leandro Aolita, executive director of quantum algorithms at the Quantum Research Centre.
Complementing classical computing
On a basic level, this means that quantum computers will not replace classical computers; they will complement them.
There are some computational problems in which quantum computers will offer no speed-up. There are only some problems where they will be superior. So, you would not use a quantum computer which is designed for high-performance computing to write an email, the researcher explained. This is why, in addition to research, the TII is also working with industry partners to see which computational problems may translate well to quantum computing and the speed-up this may provide, once the computers are mature enough to process them.
Quantum effect fragility
At this stage, the simplest quantum computer is already operational at the QRC laboratory in Masdar City. This includes two superconducting qubit chips mounted in refrigerators at the laboratory, even though quantum systems can be created on a number of different platforms.
Here, the super conducting qubit chip is in a cooler that takes the system down to a temperature that goes down to around 10 millikelvin, which is even cooler than the temperature of outer space. You have to isolate the system from the thermal environment, but you also need to be able to insert cables to control and read the qubits. This is the most difficult challenge from an engineering and a technological perspective, especially when you scale up to a million qubits because quantum effects are so fragile. No one knows exactly the exact geometric configurations to minimise the thermal fluctuations and the noise, [and this is one of the things that testing will look into once we manufacture different iterations of quantum chip], Dr Aolita explained.
Qubit quality
The quality of the qubit is also very important, which boils down to the manufacture of a chip with superconducting current that displays quantum effects. The chips at TII are barely 2x10 millimetres in size, and at their centre is a tiny circuit known as the Josephson junction that enables the control of quantum elements.
It is also not just a matter of how many qubits you have, as the quality of the qubits matters. So, you need to have particles that preserve their quantum superposition, you need to be able to control them, have them interact the way you want, and read their state, but you also have to isolate them from the noise of the environment, he said.
Optimistic timeline
Despite these massive challenges to perfect a minute chip, Dr Aolita was also quite hopeful about the work being accomplished at TII, including discussions with industry about the possible applications of quantum computing.
I think we could see some useful quantum advantages in terms of classical computing power in three to five years, he said. [Right now], we have ideas, theories, preliminary experiments and even some prototypes. Quantum computers even exist, but they are small and not still able to outperform classical supercomputers. But this was the case with classical computing too. In the 1950s and 1940s, a computer was like an entire gym or vault. Then the transistor arrived, which revolutionised the field and miniaturised computers to much smaller regions of space that were also faster. Something similar could happen here and it really is a matter of finding which kind of qubit to use and this could ease the process a lot. My prediction for a timeline is optimistic, but not exaggerated, the researcher added.
Science research
Apart from the techonological breakthroughs, the QRCs efforts are likely to also improve Abu Dhabis status as a hub for science and research.
The UAE has a long tradition of adopting technologies and incorporating technologies bought from abroad. This is now [different in] that the government is putting a serious stake in creating and producing this technology and this creates a multiplicative effect in that young people get more enthusiastic about scientific careers. This creates more demand for universities to start new careers in physics, engineering, computer science, mathematics. This [will essentially have] a long-term, multiplicative effect on development, independent of the concrete goal or technical result of the project on the scientific environment in the country, Dr Aolita added.
The QRC team currently includes 45 people, but this will grow to 60 by the end of 2022, and perhaps to 80 people in 2023. We also want to prioritise hiring the top talent from across the world, Dr Aolita added.
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Watch: How Abu Dhabi is ushering in a new era of computing with state-of-the-art quantum lab - Gulf News
Eight leading quantum computing companies in 2020 | ZDNet
The use of quantum computers has grown over the past several months as researchers have relied on these systems to make sense of the massive amounts of data related to the COVID-19 virus.
Quantum computers are based on qubits, a unit that can hold more data than classic binary bits, said Heather West, a senior research analyst at IDC.
Besides better understanding of the virus, manufacturers have been using quantum systems to determine supply and demand on certain products -- toilet paper, for example -- so they can make estimates based on trends, such as how much is being sold in particular geographic areas, she said.
"Quantum computers can help better determine demand and supply, and it allows manufacturers to better push out supplies in a more scientific way,'' West said. "If there is that push in demand it can also help optimize the manufacturing process and accelerate it and actually modernize it by identifying breakdowns and bottlenecks."
Quantum has gained momentum this year because it has moved from the academic realm to "more commercially evolving ecosystems,'' West said.
In late 2019, Google claimed that it had reached quantum supremacy, observed Carmen Fontana, an IEEE member and a cloud and emerging tech practice lead at Centric Consulting. "While there was pushback on this announcement by other leaders in tech, one thing was certain -- it garnered many headlines."
Echoing West, Fontana said that until then, "quantum computing had felt to many as largely an academic exercise with far-off implications. After the announcement, sentiment seemed to shift to 'Quantum computing is real and happening sooner than later'."
In 2020, there have been more tangible timelines and applications for quantum computing, indicating that the space is rapidly advancing and maturing, Fontana said.
"For instance, IBM announced plans to go from their present 65-qubit computer to a 1,000-qubit computer over the next three years," he said. "Google conducted a large-scale chemical simulation on a quantum computer, demonstrating the practicality of the technology in solving real-world problems."
Improved artificial intelligence (AI) capabilities, accelerated business intelligence, and increased productivity and efficiency were the top expectations cited by organizations currently investing in cloud-based quantum computing technologies, according to an IDC surveyearlier this year.
"Initial survey findings indicate that while cloud-based quantum computing is a young market, and allocated funds for quantum computing initiatives are limited (0-2% of IT budgets), end users are optimistic that early investment will result in a competitive advantage,'' IDC said.
Manufacturing, financial services, and security industries are currently leading the way by experimenting with more potential use cases, developing advanced prototypes, and being further along in their implementation status, according to IDC.
Quantum is not without its challenges, though. The biggest one West sees is decoherence, which happens when qubits are exposed to "environmental factors" or too many try to work together at once. Because they are "very, very sensitive," they can lose their power and ability to function, and as result, cause errors in a calculation, she said.
"Right now, that is what many of the vendors are looking to solve with their qubit solutions,'' West said.
Another issue preventing quantum from becoming more of a mainstream technology right now is the ability to manage the quantum systems. "In order to keep qubits stable, they have to be kept at very cold, subzero temps, and that makes it really difficult for a lot of people to work with them,'' West said.
Nevertheless, With the time horizon of accessible quantum computing now shrinking to a decade or less, Fontana believes we can expect to see "an explosion of start-ups looking to be first movers in the quantum applications space. These companies will seek to apply quantum's powerful compute power to solve existing problems in novel ways."
Here are eight companies that are already focused on quantum computing.
Atom Computing is a quantum computing hardware company specializing in neutral atom quantum computers. While it is currently prototyping its first offerings, Atom Computing said it will provide cloud access "to large numbers of very coherent qubits by optically trapping and addressing individual atoms," said Ben Bloom, founder and CEO.
The company also builds and creates "complicated hardware control systems for use in the academic community,'' Bloom said.
Xanadu is a Canadian quantum technology company with the mission to build quantum computers that are useful and available to people everywhere. Founded in 2016, Xanadu is building toward a universal quantum computer using silicon photonic hardware, according to Sepehr Taghavi, corporate development manager.
The company also provides users access to near-term quantum devices through its Xanadu Quantum Cloud (XQC) service. The company also leads the development of PennyLane, an open-source software library for quantum machine learning and application development, Taghavi said.
In 2016, IBM was the first company to put a quantum computer on the cloud. The company has since built up an active community of more than 260,000 registered users, who run more than one billion every day on real hardware and simulators.
In 2017, IBM was the first company to offer universal quantum computing systems via theIBM Q Network. The network now includes more than 125 organizations, including Fortune 500s, startups, research labs, and education institutions. Partners include Daimler AG,JPMorgan Chase, andExxonMobil. All use IBM's most advanced quantum computers to simulate new materials for batteries, model portfolios and financial risk, and simulate chemistry for new energy technologies, the company said.
By2023, IBM scientists will deliver a quantum computer with a 1,121-qubit processor, inside a 10-foot tall "super-fridge" that will be online and capable of delivering a Quantum Advantage-- the point where certain information processing tasks can be performed more efficiently or cost effectively on a quantum computer, versus a classical one, according to the company.
ColdQuanta commercializes quantum atomics, which it said is "the next wave of the information age." The company's Quantum Core technology is based on ultra-cold atoms cooled to a temperature of nearly absolute zero; lasers manipulate and control the atoms with extreme precision.
The company manufactures components, instruments, and turnkey systems that address a broad spectrum of applications: quantum computing, timekeeping, navigation, radiofrequency sensors, and quantum communications. It also develops interface software.
ColdQuanta's global customers include major commercial and defense companies; all branches of the US Department of Defense; national labs operated by the Department of Energy; NASA; NIST; and major universities, the company said.
In April 2020, ColdQuanta was selected by the Defense Advanced Research Projects Agency (DARPA) to develop a scalable, cold-atom-based quantum computing hardware and software platform that can demonstrate quantum advantage on real-world problems.
Zapata Computing empowers enterprise teams to accelerate quantum solutions and capabilities. It introduced Orquestra, an end-to-end, workflow-based toolset for quantum computing. In addition to previously available backends that include a full range of simulators and classical resources, Orquestra now integrates with Qiskit and IBM Quantum's open quantum systems, Honeywell's System Model H, and Amazon Braket, the company said.
The Orquestra workflow platform provides access to Honeywell's H, and was designed to enable teams to compose, run, and analyze complex, quantum-enabled workflows and challenging computational solutions at scale, Zapata said. Orquestra is purpose-built for quantum machine learning, optimization, and simulation problems across industries.
Recently introduced Azure Quantum provides a "one-stop-shop" to create a path to scalable quantum computing, Microsoft said. It is available in preview to select customers and partners through Azure.
For developers, Azure Quantum offers:
Founded in 1999, D-Wave claims to be the first company to sell a commercial quantum computer, in 2011, and the first to give developers real-time cloud access to quantum processors with Leap, its quantum cloud service.
D-Wave's approach to quantum computing, known as quantum annealing, is best suited to optimization tasks in fields such as AI, logistics, cybersecurity, financial modeling, fault detection, materials sciences, and more. More than 250 early quantum applications have been built to-date using D-Wave's technology, the company said.
The company has seen a lot of momentum in 2020. In February, D-Wave announced the launch of Leap 2, which introduced new tools and features designed to make it easier for developers to build bigger applications. In July, the company expanded access to Leap to India and Australia. In March, D-Wave opened free access to Leap for researchers working on responses to the COVID-19 pandemic. In September, the company launched Advantage, a quantum system designed for business. Advantage has more than 5,000 qubits, 15-way qubit connectivity, and an expanded hybrid solver service to run problems with up to one million variables, D-Wave said. Advantage is accessible through Leap.
Strangeworks, a startup based in Austin, Texas, claims to be lowering the barrier to entry into quantum computing by providing tools for development on all quantum hardware and software platforms. Strangeworks launched in March 2018, and one year later, deployed a beta version of its software platform to users from more than 140 different organizations. Strangeworks will open its initial offering of the platform in Q1 2021, and the enterprise edition is coming in late 2021, according to Steve Gibson, chief strategy officer.
The Strangeworks Quantum Computing platform provides tools to access and program quantum computing devices. The Strangeworks IDE is platform-agnostic, and integrates all hardware, software frameworks, and supporting languages, the company said. To facilitate this goal, Strangeworks manages assembly, integrations, and product updates. Users can share their work privately with collaborators, or publicly. Users' work belongs to them and open sourcing is not required to utilize the Strangeworks platform.
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Eight leading quantum computing companies in 2020 | ZDNet
The key to quantum computing AI applications: Flexible programming languages – VentureBeat
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The advance of quantum computing has the promise of reshaping artificial intelligence (AI) as its known and deployed today. This development is drastically expanding AIs enterprise and commercial outreach, perhaps even getting closer to artificial general intelligence. And there is another promise of convergence of quantum computing, AI, and programming languages into a single computational environment.
The potential effects of this coalescence of capabilities are nothing short of formidable. Deep learning applications will run much faster. The problems they solve will reach a complexity defying that of traditional approaches to advanced machine learning. Statistical and symbolic AI will run in tandem, while verticals from energy production to finance reap the benefits.
None of this will occur, however, without the enablement of flexible AI programming languages. Such programming languages are indispensable for writing AI algorithms bolstered by quantum computing to create advanced applications with the power to transform the use cases for which theyre deployed.
By availing themselves of these adaptive programming languages with the power to support paradigms for object orientation, reflection, procedural and functional programming, and meta-programming, organizations can harness this conjunction of capabilities to achieve a degree of horizontal productivity thats not otherwise possible.
As the foundation for writing effective quantum AI applications, adaptive programming languages tailored for this task are immensely helpful to developers. These high-level languages make it easy to abbreviate the time required to write code while increasing throughput when doing so. The best ones involve functional programming, which is often contrasted with, and considered superior to, imperative programming.
The dynamic capability of these AI languages to change while the program is running is superior to languages relying on a batch method, in which the program must be compiled and executed prior to outputs. Plus, these quantum AI programming languages enable both data and code to be written as expressions. Since functions in these frameworks are written like lists, theyre readily processed like data, so specific programs can actually manipulate other programs via metaprogramming which is key for their underlying flexibility. This advantage also translates into performance benefits in which such languages operate much faster in applications such as those for bioinformatics involving genomics aided by various dimensions of AI.
When enabled by flexible programming languages for developing AI, quantum computing allows organizations to perform AI calculations much faster, and at a greater scale, than they otherwise could. These programming languages also underpin both statistical and symbolic AI approaches enhanced by quantum computing. Optimization problems, for example, are traditionally solved in knowledge graph settings supporting intelligent inferences between constraints.
For applications of advanced machine learning (ML), writing AI algorithms fortified by quantum computing reduces the amount of time required for bringing new pharmaceuticals to market, for example. There are even data science applications that are universally applicable for training better ML models with less computational overhead. In all of these use cases, the key to devising AI solutions enhanced by quantum computing is the array of programming languages that empower developers to write algorithms that unequivocally benefit from the speed and scalability of quantum computing methods.
Although there are several others, the two capital ways quantum computing supplies the above benefits is via quantum computations and quantum annealing. Each of these functions involves specialized hardware for quantum computers that are more effective than traditional computers for tackling problems at the scale and speed at which AI becomes supercharged. Quantum computers encode information as 0s, 1s, or both simultaneously in quantum bits (qubits), whereas traditional computers can only encode them as 0s or 1s. The ability to superimpose these states is one of the ways in which quantum machines process gigantic quantities of data at once.
Another is via quantum annealing, which is reflective of nature in that it solves even NP-hard problems by reaching the lowest energy state of the computer. Traditional computers take an exponential amount of time to solve certain problems, such as concerns for optimization issues related to vehicles, fuel consumption, delivery objectives, and others. Quantum annealing methods expedite the time required to achieve answers to such problems, providing a degree of actionable efficiency thats pivotal for logistics or routing equipment in the travel and transportation industries.
The boons of applying quantum computing to accelerate and buttress the overall utility of AI for society and the enterprise are apparent. Much less attention, however, is given to the programming languages that are used to design these quantum AI applications. These frameworks are the gatekeepers for the future of quantum AI. Shrewd organizations are utilizing them to capitalize on this growing development.
Jans Aasman, Ph.D., is an expert in cognitive science and CEO of Franz Inc.
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qBraid Announces an Integration of their qBraid Lab SDK with Amazon Braket – Quantum Computing Report
qBraid Announces an Integration of their qBraid Lab SDK with Amazon Braket
The qBraid Lab SDK created by qBraid has three interesting features that can make it easier and faster for an end user to run a circuit on multiple platforms. The first is a write-once-and-submit function which can allow a user to create a circuit and submit it to multiple quantum hardware platforms and simulators without having to individually submit each one. The second is a circuit transpiler that supports over 20 different quantum hardware and simulation platforms that will take a circuit written in one quantum language and convert it so it can run on the many platforms including IBM Qiskit, Google Cirq, Xanadu Pennylane, Rigetti Pyquil and others. And the third feature is a mechanism to retrieve and manage the results of the multiple runs. The software is particularly useful for those who want to run a circuit on multiple platforms to compare the results of each platform. For example, Amazon Braket alone provides access to six different quantum computers and three different simulators and qBraid provides a pay-as-you-go model for accessing any of these. Additional information about the qBraid Lab, its integration with Amazon Braket, you can see a blog located on the qBraid website here.
July 2, 2022
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Another Metropolitan Quantum Network Being Set Up in the Washington DC Area – Quantum Computing Report
Another Metropolitan Quantum Network Being Set Up in the Washington DC Area
A new metropolitan quantum network is being formed to join ones already started in Chicago, Long Island New York, and London. This one will be in the Washington DC area and will be called the Washington Metropolitan Quantum Network Research Consortium (DC-QNet). It will includes six U.S. government agencies located in the area and two additional affiliates outside of the region including:
The two government agencies participating in this project outside of the Washington DC region are:
The network will be used to research entanglement distribution of qubits over multi-kilometer distances. The network will be used to research using a quantum secure communications channel for exchanging data, networking multiple quantum computers together, distributing ultra-precise time signals, creating clusters of quantum sensors, understanding the metrology to operate such a network, and exploring the use of various quantum hardware devices such as quantum memories, single photon devices, transducers, and other related things.
At this time, these metropolitan networks are limited in distance to what can be covered via direct links without the use of quantum repeaters. We believe that as viable quantum repeaters are developed in the future, several of these metropolitan quantum networks will be hooked together to create a larger network, and ultimately, a quantum internet.
Additional information about this DC-QNet can be found in a press release posted by the U.S. Naval Research Laboratory (NRL) here.
July 2, 2022
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IONQ: Wall Street Analysts Predict More Than 160% Upside in These Stocks – StockNews.com
Concerns over the 40-year high inflation and hawkish federal reserve have pushed the benchmark indices into the bear market territory. Bearish sentiment is still widespread, and the market is likely to continue to feel the pressure in the near term as well.
The overwhelming mentality remains gloomy, with most people just trying to avoid bear-market rallies, convinced the SPX has several hundred points of further downside over the coming months, wrote Adam Crisafulli of Vital Knowledge.
However, certain financially robust stocks possess solid upside potential and might perform well in the long run. And staying invested is important, or one can miss out on long-term returns.
Despite the market downturns, Wall Street analysts believe IonQ, Inc. (IONQ) and Rigetti Computing, Inc. (RGTI) could rally by more than 160% in the near term. Thus, these stocks could be worth adding to your watchlist.
IonQ, Inc. (IONQ)
IONQ engages in the development of general-purpose quantum computing systems. The company offers access to its quantum computers through cloud platforms, such as Amazon Web Services (AWS), Amazon Braket, Microsofts Azure Quantum, and Googles Cloud Marketplace.
On May 17, 2022, IONQ launched IonQ Forte, its latest generation of quantum systems. Forte features acousto-optic deflector (AOD) technology, which nullifies noise and overcomes variations in ion position, which is critical for scaling quantum computers. Given the growing quantum computing market, the company should benefit from this development.
Furthermore, on June 23, 2022, IONQ announced its partnership with GE Research to explore the benefits of quantum computing concerning risk management. This collaboration is expected to achieve record feats in quantum computing.
For the first quarter ended March 31, 2022, IONQs revenue came in at $1.95 million, up 1,462.4% year-over-year. Its net loss decreased 42.4% year-over-year to $4.23 million, while its loss per share came in at $0.02, down 66.7% year-over-year. Moreover, its cash and cash equivalents came in at $86.75 million, up 144.2% year-over-year.
IONQs revenue is expected to increase 406.9% year-over-year to $10.64 million in 2022. Its EPS is expected to grow 20% per annum for the next five years.
IONQ declined 26.1% over the past month, closing the last trading session at $4.38. However, Wall Street analysts expect the stock to hit $11.50 soon, indicating a potential upside of 162.6%.
Rigetti Computing, Inc. (RGTI)
RGTI operates as an integrated systems company. The company builds quantum computers and the superconducting quantum processors that power them. Its machines are integrated into various public, private, or hybrid clouds through its Quantum Cloud Services platform.
On June 21, 2022, Rigetti UK Limited, a wholly-owned subsidiary of RGTI, announced the launch of its 32-qubit Aspen-series quantum computer in the UK. Chad Rigetti, RGTIs founder and CEO, said, We believe deploying our first UK-based quantum computer is a major step towards our vision to integrate QPUs into the fabric of the cloud.
RGTIs net cash provided by financing activities came in at $213.44 million for the first quarter ended March 31, 2022, up 1,674.9% year-over-year. Its cash and restricted cash came in at $206.94 million, up 609.2% year-over-year.
RGTIs revenue is expected to grow 123.7% year-over-year to $12.40 million in 2022. Its EPS is estimated to grow 60.3% in 2022.
RGTI shares have slumped 45% over the past three months closing the last trading session at $3.67. However, Wall Street analysts expect the stock to hit $11.50 soon, indicating a potential upside of 213.4%.
IONQ shares were trading at $4.34 per share on Friday afternoon, down $0.04 (-0.91%). Year-to-date, IONQ has declined -74.01%, versus a -20.15% rise in the benchmark S&P 500 index during the same period.
Riddhima is a financial journalist with a passion for analyzing financial instruments. With a master's degree in economics, she helps investors make informed investment decisions through her insightful commentaries. More...
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Tech Trends: What Will Be The Biggest Innovations by 2022 – Medium
Predicting the future is hard and risky. Predicting the future in the computing industry is even harder and riskier due to dramatic changes in technology and limitless challenges to innovation. Only a small fraction of innovations truly disrupt the state of the art. Some are not practical or cost-effective, some are ahead of their time, and some simply do not have a market. There are numerous examples of superior technologies that were never adopted because others arrived on time or fared better in the market. Therefore this document is only an attempt to better understand where technologies are going.
In 2014, a team of technical leaders from the IEEE Computer Society joined forces to write a technical report, entitled IEEE CS 2022, surveying 23 technologies that could potentially change the landscape of computer science and industry by the year 2022. In particular, this report focused on 3D printing, big data and analytics, the open intellectual property movement, massively online open courses, security cross-cutting issues, universal memory, 3D integrated circuits, photonics, cloud computing, computational biology and bioinformatics, device and nanotechnology, sustainability, high-performance computing, the Internet of Things, life sciences, machine learning and intelligent systems, natural user interfaces, networking and inter-connectivity, quantum computing, software-defined networks, multicore, and robotics for medical care.
The 2022 Report team surveyed several thousand IEEE members about the forces behind the technology changes. The desire for sustainable energy, the availability of wireless/broadband connectivity, and the use of technology for medical procedures ranked highest as drivers, while 3D printing, the use of robots for labour, and cloud computing were ranked most highly as major disruptors.
Computing devices from wearable devices and chips embedded under the skin to the computers inside our mobile devices, laptops, desktops, home servers, TV sets, and refrigerators, to the computing cloud that we reach via the Internet will together form an intelligent mesh, a computing and communication ecosystem that augments reality with information and intelligence gathered from our fingertips, eyes, ears, and other senses, and even directly interfaced to our brain waves.
At the heart of this revolution is seamless networking, with transparent and uninterrupted transitions between devices made possible by Near-Field Communication, Bluetooth, and Wi-Fi, as well as intelligent coordination software, standardized identity technologies, and cloud-based APIs.
The combination of powerful voice and facial recognition, massive identity databases, and powerful tracking will likely result in a new norm that potentially translates into a significant loss of privacy compared to today.
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Tech Trends: What Will Be The Biggest Innovations by 2022 - Medium
Quantum computing: Definition, facts & uses | Live Science
Quantum computing is a new generation of technology that involves a type of computer 158 million times faster than the most sophisticated supercomputer we have in the world today. It is a device so powerful that it could do in four minutes what it would take a traditional supercomputer 10,000 years to accomplish.
For decades, our computers have all been built around the same design. Whether it is the huge machines at NASA, or your laptop at home, they are all essentially just glorified calculators, but crucially they can only do one thing at a time.
The key to the way all computers work is that they process and store information made of binary digits called bits. These bits only have two possible values, a one or a zero. It is these numbers that create binary code, which a computer needs to read in order to carry out a specific task, according to the book Fundamentals of Computers (opens in new tab).
Quantum theory is a branch of physics which deals in the tiny world of atoms and the smaller (subatomic) particles inside them, according to the journal Documenta Mathematica (opens in new tab). When you delve into this minuscule world, the laws of physics are very different to what we see around us. For instance, quantum particles can exist in multiple states at the same time. This is known as superposition.
Instead of bits, quantum computers use something called quantum bits, 'qubits' for short. While a traditional bit can only be a one or a zero, a qubit can be a one, a zero or it can be both at the same time, according to a paper published from IEEE International Conference on Big Data (opens in new tab).
This means that a quantum computer does not have to wait for one process to end before it can begin another, it can do them at the same time.
Imagine you had lots of doors which were all locked except for one, and you needed to find out which one was open. A traditional computer would keep trying each door, one after the other, until it found the one which was unlocked. It might take five minutes, it might take a million years, depending on how many doors there were. But a quantum computer could try all the doors at once. This is what makes them so much faster.
As well as superposition, quantum particles also exhibit another strange behaviour called entanglement which also makes this tech so potentially ground-breaking. When two quantum particles are entangled, they form a connection to each other no matter how far apart they are. When you alter one, the other responds the same way even if they're thousands of miles apart. Einstein called this particle property "spooky action at a distance", according to the journal Nature (opens in new tab).
As well as speed, another advantage quantum computers have over traditional computers is size. According to Moore's Law, computing power doubles roughly every two years, according to the journal IEEE Annals of the History of Computing (opens in new tab). But in order to enable this, engineers have to fit more and more transistors onto a circuit board. A transistor is like a microscopic light switch which can be either off or on. This is how a computer processes a zero or a one that you find in binary code.
To solve more complex problems, you need more of those transistors. But no matter how small you make them there's only so many you can fit onto a circuit board. So what does that mean? It means sooner or later, traditional computers are going to be as smart as we can possibly make them, according to the Young Scientists Journal (opens in new tab). That is where quantum machines can change things.
The quest to build quantum computers has turned into something of a global race, with some of the biggest companies and indeed governments on the planet vying to push the technology ever further, prompting a rise in interest in quantum computing stocks on the money markets.
One example is the device created by D-Wave. It has built the Advantage system which it says is the first and only quantum computer designed for business use, according to a press release (opens in new tab) from the company.
D-wave said it has been designed with a new processor architecture with over 5,000 qubits and 15-way qubit connectivity, which it said enables companies to solve their largest and most complex business problems.
The firm claims the machine is the first and only quantum computer that enables customers to develop and run real-world, in-production quantum applications at scale in the cloud. The firm said the Advantage is 30 times faster and delivers equal or better solutions 94% of the time compared to its previous generation system.
But despite the huge, theoretical computational power of quantum computers, there is no need to consign your old laptop to the wheelie bin just yet. Conventional computers will still have a role to play in any new era, and are far more suited to everyday tasks such as spreadsheets, emailing and word processing, according to Quantum Computing Inc. (QCI) (opens in new tab).
Where quantum computing could really bring about radical change though is in predictive analytics. Because a quantum computer can make analyses and predictions at breakneck speeds, it would be able to predict weather patterns and perform traffic modelling, things where there are millions if not billions of variables that are constantly changing.
Standard computers can do what they are told well enough if they are fed the right computer programme by a human. But when it comes to predicting things, they are not so smart. This is why the weather forecast is not always accurate. There are too many variables, too many things changing too quickly for any conventional computer to keep up.
Because of their limitations, there are some computations which an ordinary computer may never be able to solve, or it might take literally a billion years. Not much good if you need a quick prediction or piece of analysis.
But a quantum computer is so fast, almost infinitely so, that it could respond to changing information quickly and examine a limitless number of outcomes and permutations simultaneously, according to research by Rigetti Computing (opens in new tab).
Quantum computers are also relatively small because they do not rely on transistors like traditional machines. They also consume comparatively less power, meaning they could in theory be better for the environment.
You can read about how to get started in quantum computing in this article by Nature (opens in new tab). To learn more about the future of quantum computing, you can watch this TED Talk (opens in new tab) by PhD student Jason Ball.
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Quantum computing: Definition, facts & uses | Live Science