Archive for the ‘Quantum Computer’ Category

SoftBank and the University of Tokyo Collaborate on Quantum … – OPP.Today

Japanese operator SoftBank and the University of Tokyo have entered into a joint research collaboration to explore the business applications of quantum computing. The collaboration includes SoftBanks membership in the Quantum Innovation Initiative Consortium (QII Consortium), which is operatedthe University of Tokyo. The goal of the collaboration is to strengthen industry-academia collaboration, accelerate research and development, and verify use cases using the IBM Quantum System One, a quantum computer with a 127-qubit processor.

In addition to exploring the potential of quantum computing, SoftBank and the University of Tokyo plan to link the system with mobile communication technologies such as 5G, IoT, and future 6G systems. This integration aims to contribute to the social implementation of quantum computers, furthering their practical application in society.

The QII Consortium was established to build an ecosystem of quantum computing technologies and promote relevant research and development activities. SoftBank is currently conducting use case validations in fields like quantum chemistry, quantum machine learning, and optimization.

Both SoftBank and the University of Tokyo have expressed their commitment to advancing quantum research in Japan. By exclusively using a quantum computer with a 127-qubit processor installed in Japan, the University of Tokyo aims to lead in application development in the era of quantum computing.

SoftBank sees its membership in the QII Consortium as an opportunity to contribute to quantum research and pursue the practical use of quantum computing. The company envisions equipping its next-generation social infrastructure with quantum computers to accelerate the digitalization of society.

This collaboration follows SoftBanks previous joint research agreement with Keio University in the field of quantum computers. The initial focus of the research is on quantum chemistry, specifically the analysis of molecules and nuclei using Noisy Intermediate-Scale Quantum (NISQ) computers.

Overall, the collaboration between SoftBank and the University of Tokyo demonstrates their commitment to advancing quantum computing technology and exploring its potential for business utilization. The integration of mobile communication technologies further highlights the goal of implementing quantum computers for societal benefit.

Sources: SoftBank collaborates with University of Tokyo for quantum computing research SoftBank, University of Tokyo partner on quantum computing research

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SoftBank and the University of Tokyo Collaborate on Quantum ... - OPP.Today

Quantum Tech Intended for National Security Is Testing U.S. Alliances – The New York Times

The Australian physicist shook the heavy metal box that resembled a beer cooler but held a quantum sensor. A computer screen showed that the cutting-edge device with lasers manipulating atoms into a sensitive state continued functioning despite the rattling.

He and his team had built a hard-to-detect, super-accurate navigation system for when satellite GPS networks are jammed or do not work that was robust and portable enough to be used outside a lab. It could potentially guide military equipment, from submarines to spacecraft, for months with a minuscule risk of directional error a significant improvement over what is available today.

The fact that we can do that is probably a wild, insane surprise, said Russell Anderson, the head of quantum sensing at Q-CTRL, a start-up that recently signed a deal with Australias Department of Defense to develop and field-test its quantum sensor technology.

The global race to develop quantum technologies of all kinds has accelerated as governments pour investment into the industry and scientists make rapid technical advances. But to maintain an edge over China which takes a centralized approach to tech development the United States is considering tougher export controls for quantum. And allies say more limits, on top of those already in place, could stifle momentum because the strength of the American model of tech development comes from its openness, combining pools of public research money with private investment to support scientists from many countries.

For the United States and its allies, the challenge is clear: how to balance protectionism and cooperation in a transformative field where talent is scarce and less concentrated in the United States, making interdependence inevitable and increasingly necessary.

The world has changed, and the pace of technology is much faster than it used to be, said John Christianson, a military fellow at the Center for Strategic and International Studies in Washington, who co-authored a recent report on AUKUS, the 2021 security agreement among the United States, Britain and Australia. We cant just rely on Americans always having the best stuff.

Secretary of State Antony J. Blinken and Secretary of Defense Lloyd Austin III are in Australia this week for annual bilateral meetings. Australian officials say they will likely be urged to hurry up and clarify the rules for technology sharing in rapidly-changing fields.

In just the past few years, quantum technology has moved to the cusp of widespread use as companies, nations and investors have helped scientists turn the extreme sensitivity of atoms into powerful sensors, more secure communication systems and superfast quantum computers that could drive exponential progress in artificial intelligence, drug discovery, mining, finance and other industries.

With its centralized method of funneling billions of dollars to military-affiliated universities, China has produced results that have nearly matched or exceeded the American approach. Some of its claims about quantum breakthroughs and funding pledges have been disputed, but a demonstrable rise in Chinese expertise began a decade ago with surging government investment after the Edward Snowden leak confirmed in 2013 that U.S. and British intelligence agencies had found ways to crack and spy on encrypted internet traffic.

In 2017, China built a 91-acre campus in Hefei, west of Shanghai, with the worlds largest national laboratory for quantum science. Since then, Chinese researchers have published thousands of papers demonstrating critical advances, including, in 2021, the use of a space-to-ground quantum communication network linking satellites to a fiber-optic cable connecting Shanghai to Beijing.

For China, the Snowden thing had a psychological impact, said Edward Parker, a physicist focused on emerging technologies at the RAND Corporation. Theres also some aspect of national pride they identified this as a very demonstrable quantum technology where they could become the best in the world.

Jian-Wei Pan, sometimes called Chinas father of quantum, has been an important figure. His Ph.D. focused on quantum information science at the University of Vienna under Anton Zeilinger, one of last years Nobel Prize winners in physics, and Chinas most notable achievements have come with communication that leverages the laws of quantum physics to protect data.

According to the Australian Strategic Policy Institutes critical technology tracker, China appears to be lagging more in quantum computers which perform many calculations in one pass, making them faster than todays digital computers that perform each calculation separately while narrowing the gap in quantum sensing for navigation, mapping and detection. Chinese scientists have even said they are building a quantum-based radar to find stealth aircraft with a small electromagnetic storm, though quantum specialists outside China have questioned their claims.

One of the doubters is Michael Biercuk, 43, the founder of Q-CTRL, an American physicist with a military mien and a Harvard Ph.D. who moved to Australia in 2010 to teach at the University of Sydney. He and his start-up, with offices in Sydney, Los Angeles, Berlin and Oxford, are among a cutting-edge group of global quantum leaders who see hyperbole and statecraft in many Chinese quantum announcements and hope to capitalize on what technology-sharing partnerships like the AUKUS security agreement represent.

AUKUS, for us, is exceptionally important, said Professor Biercuk, noting that Q-CTRL works on sensors and quantum computing. Its a real opportunity for the homegrown capability were building in Australia to be deployed into an international framework.

About half of Q-CTRLs 100 employees are Australian, half from other countries, and many, including Professor Biercuk, have experience working for Americas elite defense and civilian laboratories. The companys main software product, which stabilizes the hardware against everything that goes wrong in the field, Professor Biercuk said, is already being used by quantum developers in the United States, Canada and Europe, where precise sensor technology is also advancing.

But moving sensitive technology from one nation to another, or developing technology with cross-border teams, has become increasingly fraught.

Fearing that its technology will be used to build the economies of larger countries, Australia has been exploring how to keep its own advances secret. Q-CTRLs scientists in Sydney already cautiously avoid sharing technical information with colleagues in the United States to avoid being subject to the U.S. International Traffic in Arms Regulations (ITAR), a set of restrictive safeguards for military technology that is widely seen as a major obstacle to modernizing Americas alliances in the region.

If American officials go through with their plan to expand export controls for quantum computing, following a pattern that began with advanced microchips, information itself could be considered an export, meaning details could not be shared with people born outside the United States.

Its just very complicated if you have to have separate lab facilities with more sensitive things, said Dr. Parker, the RAND physicist.

Many quantum companies in the United States and elsewhere, including Q-CTRL, are hoping for sensible, clear guidelines. Australian officials and some American lawmakers are also pushing for an exemption from U.S. arms regulations so Australian companies would not be treated as foreign entities.

For many who work closely with advanced technology, where innovation requires information sharing, there is a gnawing worry that the United States and its closest allies are at risk of squandering recent gains by waiting too long to clarify the legal mechanisms for cooperation.

On a recent afternoon in the former locomotive factory where Q-CTRL has its offices, Professor Biercuk said the next few years will be crucial. If friendly democracies dont build quantums strengths together, other countries will speed past with sharper militaries and lucrative opportunities.

You better believe that China and any nations allied with China are not going to put restrictions on themselves or their partners, he said. Anytime we overly regulate emerging areas of science, we risk simply stopping progress locally and ceding technological advantage to our adversaries.

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Quantum Tech Intended for National Security Is Testing U.S. Alliances - The New York Times

UChicago Scientists Make New Discovery Proving Entanglement Is Responsible for Computational Hardness In … – HPCwire

July 27, 2023 For decades, scientists have been trying to solve the mystery of what makes quantum computers more powerful than classical computers. The origins of this quest can be traced all the way to Albert Einstein who famously called quantum mechanical entanglement spooky action at a distance. Now in a groundbreaking paperpublished in thePhysical Review Letters, a team of scientists led by Assistant ProfessorWilliam Feffermanfrom the University of ChicagosDepartment of Computer Sciencehave found a computational problem in which entanglement is directly responsible for a dramatic quantum computational speedup over any efficient classical algorithm.

Fefferman, along with lead Ph.D. studentSoumik Ghosh, IBM researcherAbhinav Deshpande(who Fefferman co-advised at the University of Maryland), University of Maryland postdocDominik Hangleiterand University of Maryland/NIST researcherAlexey Gorshkov, debuted a problem in their paper titled Complexity phase transitions generated by entanglement that pinpoints two things: there is a provable quantum speedup over any classical computer, and entanglement is causing the speedup in this particular problem.

Since the early 90s, we have had theoretical evidence that quantum computers can solve problems that are too difficult for todays classical computers. One specific example that scientists continue to look at isShors algorithm, which says quantum computers can take incredibly large numbers (think ten billion) and quickly break them into their prime factors. The foundations of modern cryptography that we use on the Internet is based on this being a hard problem to solve; so if large scale quantum computers are built, then the basis of cryptography as we know it would be compromised.

However, Shors algorithm is still a theoretical result because large enough and perfect enough quantum computers have not yet been built.

Right now we are in the era of NISQ which stands for noisy intermediate scale quantum computing, said Ghosh. Some companies have designed certain types of quantum computers, but one defining feature is that they are a bit noisy. Todays quantum computers are believed to be just slightly more powerful than our best classical computers, so its becoming more significant to sharpen that boundary between the two.

In the same way that classical computers are made up of bits, quantum computers are made of individual components called qubits. As Ghosh explained, todays qubits are noisy, making them too imperfect to be efficient. A quantum computer would need hundreds of thousands of noiseless qubits to solve the near-impossible problems facing modern computers. While places like UChicago are making strides towardbuilding large scale quantum computersthat can test these theories, we dont currently have devices capable of doing so.

There is still plenty that scientists dont understand about the basic foundations of quantum computing that make it hard to move forward in the field. From a first principle standpoint, certain questions need to be answered: Why is quantum computing so powerful? Why does Shors algorithm work? What quantum properties is it using that causes these speedups? After years of research attempting to better understand these issues, this work gives an example of a quantum system for which entanglement can be identified as the clearcut answer.

Entanglement is a fundamental property of quantum systems, and its a property that we think is very different from anything that happens in the classical world, Fefferman explained. Furthermore, theres always been an intuition that entanglement is one of the root causes of these quantum speedups. Its an important contributor to the power of quantum computers, but it wasnt totally clear that entanglement was the sole cause. Thats what our paper is trying to address.

Entanglement is a complex and largely misunderstood phenomenon that scientists have been trying to understand for the last hundred years. Einstein, for instance, was troubled by entanglement and died trying to give a classical explanation. In essence, if you have two entangled quantum particles that are separated by a distance, no matter how far, what happens to one particle can simultaneously affect the behavior of the other particle. Abstractly, if you have a large number of particles or qubits as the basic unit of quantum information and you want to understand the state of this entire system, the idea of entanglement implies you wont get any real information by looking at just one qubit; you have to look at the interactions between all of the qubits to understand the state of subsets within the system.

The problem the team presented in the paper is not useful in the same sense that Shors algorithm is, but it can be mathematically described and is meaningful to quantum theory. The key point is that entanglement can be seen to be the root cause of the computational speedup.

We can talk about the same computational problem with a little bit of entanglement, and then a little bit more, and so on, said Fefferman. The exciting part is that when this entanglement reaches a certain threshold, we go from an easy problem for a classical computer to a provably hard problem. Entanglement seems to be causing the increased difficulty and quantum speedup. Weve never been able to show that in a problem like Shors algorithm.

This research is part of the first steps in the broader context of pinpointing quantum speedups.

The next step is trying to generalize this toy model to more practical systems of quantum computation, said Ghosh. We want to be able to understand what is causing speedups for the types of quantum computers that people are designing in real life and the type of processes that will be run using those computers.

Source: UChicago

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UChicago Scientists Make New Discovery Proving Entanglement Is Responsible for Computational Hardness In ... - HPCwire

If You Can Only Buy One Quantum Computing Stock, It Better Be One of These 3 Names – InvestorPlace

Quantum computing stocks are becoming the next big thing for forward-thinking investors, pushing the boundaries and reshaping them with the enigmatic power of quantum mechanics. Unlike traditional computers that use bits, quantum computers use qubits that can solve complex problems faster and more efficiently. In other words, these computers could revolutionize many industries. And were just at the beginning of this technological advancement. In this article, well uncover the best quantum computing stocks to buy, highlighting highlight three hidden gems making incredible progress in this groundbreaking field.

Each of these companies offers a unique and valuable proposition, showcasing innovative approaches to the challenges and possibilities of quantum computing.

So, here are the best quantum computing stocks to add to your portfolio.

Source: Amin Van / Shutterstock.com

IonQ(NYSE:IONQ) is one of the best quantum computing stocks for investors. The companys technology allows its computers to perform longer, more complex calculations with fewer errors than any quantum computer yet built. That makes IonQ a speculative investment with significant growth potential.

Theres a good reason to feel bullish on IONQ. The company recentlyentered into a significant partnership with QuantumBasel, Switzerlands first quantum hub. The collaboration aims to establish a European quantum data center and includes the installation of two advanced IonQ quantum computers at QuantumBasel. The partnership is reportedly backed with over $500 million in private funding. That may help put IonQ on the map and give it a leg up over competitors.

For momentum investors, theres good reason to consider this stock too. Its up 418% year to date. Its EPS is also forecasted to grow 20% over the next five years.

Source: Shutterstock

Analog Devices (NASDAQ:ADI) is a leading semiconductor company whose processing chips are vital to todays digital economy. As quantum computing grows, related suppliers like semiconductors are expected to become increasingly important.

As a mid-cap ($99.49 billion) stock, Analog Devices offers great growth potential. The brand beat revenue and earnings estimates last quarter. Sales grew 10% year-over-year, while earnings surged 18%. Sales were $3.26 billion, and adjusted earnings were $2.83 per share.

Wall Street gave ADI stock a $207.83 price target. I think this target is feasible. The market has resumed its risk appetite for tech stocks, and speculative plays like ADI stock have come back into fashion. Its share also trades just below its 52-week high, and judging by its momentum indicators, it will breach this resistance zone shortly.

Rigetti Computing(NASDAQ:RGTI) is a full-stack quantum computing company that designs quantum chips, integrates those chips with a controlling architecture and develops software. This quantum computing stock should definitely be on your radar.

Rigettis competitive advantage lies in its focus on hybrid quantum-classical computing systems. In short, it wants to give consumers the best of both worlds. It aims to accomplish this through the release of its Ankaa-1 84-qubit system. Once it has built significant traction with its release, it will attempt to capture a quantum advantage over its competitors.

The company also recently entered into a collaboration agreement with ADIA Lab, an independent research institute based in Abu Dhabi specializing in data and computational sciences. The partnership aims to design, build, execute and optimize a quantum computing solution.

On the date of publication, Matthew Farley did not hold (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.

Matthew started writing coverage of the financial markets during the crypto boom of 2017 and was also a team member of several fintech startups. He then started writing about Australian and U.S. equities for various publications. His work has appeared in MarketBeat, FXStreet, Cryptoslate, Seeking Alpha, and the New Scientist magazine, among others.

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If You Can Only Buy One Quantum Computing Stock, It Better Be One of These 3 Names - InvestorPlace

Quantum Computing: Exploring the Boundaries of Computation – Fagen wasanni

Quantum Computing is a cutting-edge field that combines computer science and physics to develop advanced computing systems. Instead of relying on classical bits, quantum computers use qubits, which can exist in multiple states simultaneously due to superposition and entanglement. This unique property allows quantum computers to solve complex problems efficiently, something that classical computers struggle with.

At the core of quantum computing lies the principles of quantum mechanics, a branch of physics that governs atomic and subatomic behavior. While classical computers use bits to represent either a 0 or a 1, quantum computers use qubits that can represent both 0 and 1 simultaneously. This superposition exponentially increases the computational power of quantum systems.

Superposition is a fundamental element of quantum computing, enabling qubits to be in multiple states at once and perform multiple calculations simultaneously. This ability allows quantum algorithms to tackle complex problems with incredible speed, offering the potential for breakthroughs in fields like cryptography, drug discovery, optimization, and artificial intelligence.

Entanglement is another key principle in quantum computing. When qubits become interconnected, the state of one qubit directly influences the other, regardless of their physical distance. This property provides quantum computers with an advantage in terms of data processing and communication, promising enhanced efficiency and security.

Although significant progress has been made in the field of quantum computing, there are challenges to overcome. Maintaining the stability of qubits and preventing decoherence (loss of quantum information) are major hurdles that researchers are diligently working on.

Quantum computing has the potential to revolutionize cryptography by breaking classical encryption methods through algorithms like Shors algorithm. However, it also offers opportunities to enhance data security through quantum key distribution (QKD), which creates unbreakable encryption keys using entanglement.

The impact of quantum computing extends beyond cryptography. It can accelerate scientific breakthroughs, such as drug discovery through quantum simulations of molecular behavior. Additionally, it has the potential to revolutionize optimization problems in logistics, finance, and supply chain management. In the field of artificial intelligence, quantum computing may enhance machine learning algorithms and pattern recognition capabilities.

However, building practical quantum computers comes with technical challenges. Maintaining qubit stability and achieving scalability are ongoing research areas. Efficient quantum algorithms are also essential to maximize the computational advantage of quantum computers.

Despite these challenges, significant milestones have been achieved in the quantum computing landscape. In 2019, Googles quantum processor, Sycamore, reached the milestone of quantum supremacy, outperforming the most advanced classical computers.

Interest in quantum computing has grown, with governments, academia, and the private sector investing in research and development. As the field continues to evolve, quantum computing is expected to redefine the possibilities of computation and address complex challenges such as climate modeling, drug discovery, and optimization. Collaboration among researchers, engineers, and policymakers is crucial to harnessing the true power of quantum computing.

Overall, quantum computing showcases human ingenuity and curiosity, pushing the boundaries of computation and reshaping the future of technology.

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Quantum Computing: Exploring the Boundaries of Computation - Fagen wasanni