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  • richardmitnick 8:01 am on March 28, 2018 Permalink | Reply
    Tags: , , , EPFL invests in quantum science and technology, EPFL’s Institute of Physics, IBM Q experience, ,   

    From École Polytechnique Fédérale de Lausanne EPFL: “EPFL invests in quantum science and technology” 

    EPFL bloc

    École Polytechnique Fédérale de Lausanne EPFL

    28.03.18
    Nik Papageorgiou

    1
    The IBM Q Experience running on a tablet at IBM Research. (credit: Connie Zhou for IBM).

    Having identified Quantum Science and Technology as a strategic research area to be developed and reinforced, EPFL’s Institute of Physics is plunging headlong into the field with two new research openings, a master’s course, and partnering with IBM and their cutting-edge quantum-computer platform.

    It seems that the future will involve disruptive technologies that rely on the “spooky world” of quantum mechanics. Harnessing the properties of the quantum world, the world is preparing to usher in technologies that seem to be the stuff of science fiction, such as light-based quantum communications, unbreakable quantum cryptography, and quantum computers that run a million times faster than today’s fastest supercomputers.

    Europe is already heavily invested in what has come to be abbreviated as “QST” – Quantum Science and Technology, with its FET Flagship on Quantum Technologies, while Switzerland runs its own, federally funded NCCR-QSIT project.

    Now, EPFL’s Institute of Physics (IPHYS) is reinforcing its own QST efforts, specifically in theoretical quantum science. The Institute recently made an open call for a faculty position in QST, with the selection committee now planning interviews to select one of the short-listed candidates in April. “A second call in QST is very high on our priority list,” says director of IPHYS Professor Harald Brune. “We will be proposing it as soon as possible.”

    In addition to its efforts in QST research, EPFL’s teaching in QST enjoys high visibility. Dr Marc-André Dupertuis, a researcher with two IPHYS labs, has been running a Master course in quantum optics and quantum information since 2013. The course came to life through the efforts of Dupertuis and his assistant Clément Javerzac-Galy, and represents a major commitment by EPFL to establish itself as a leader in the future of QST.

    This view is apparently shared by IBM, an industry pioneer in the field. In 2016, the tech giant launched “the IBM Quantum Experience (QX)”, a cloud-based platform on which students and researchers can learn, research, and interact with a real quantum computer housed in an IBM Research lab through a simple Internet connection and a browser. In 2017, IBM chose EPFL alongside MIT and the University of Waterloo to be one of the first institutions in the world to use its quantum computer for teaching.

    As part of the QST teaching initiative, IBM made the QX platform available to Master students taking Dupertuis’ course. “We are using the IBM Q Experience in the framework of our quantum information class,” says Clément Javerzac-Galy. “It’s fascinating for the students to be the first generation to use a quantum machine and it’s a tremendous tool to speed up the learning curve in quantum information. Things you could previously only theorize about, you can now practice on a real machine.”

    Recognizing EPFL’s effort in QST teaching, IBM also marked the event with a lengthy tweet. “This shows that EPFL is already a top institution in the world for what concerns teaching in this domain,” says Harald Brune. Today, the QX community spans nearly 80,000 users running 3 million quantum experiments and more than 35 third-party research publications, while users can compete for three different awards.

    “This year we will be in the privileged to be able to calculate with 20 quantum bits as opposed to 5 last year,” says Marc-André Dupertuis. “Plus, this year the QX community expects to pass the ‘Quantum supremacy’ limit of quantum computing. A quantum computer will have obtained for the first time at least one result that would have been unthinkable to calculate with any existing conventional supercomputer.”

    See the full article here .

    Please help promote STEM in your local schools.

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    EPFL campus

    EPFL is Europe’s most cosmopolitan technical university with students, professors and staff from over 120 nations. A dynamic environment, open to Switzerland and the world, EPFL is centered on its three missions: teaching, research and technology transfer. EPFL works together with an extensive network of partners including other universities and institutes of technology, developing and emerging countries, secondary schools and colleges, industry and economy, political circles and the general public, to bring about real impact for society.

     
  • richardmitnick 4:01 pm on December 14, 2017 Permalink | Reply
    Tags: , IBM has announced an initiative to build commercially available “IBM Q” universal quantum computing systems, IBM Q experience   

    From HPC: “IBM Launches Commercial Quantum Network with Samsung, ORNL” 

    HPC Wire

    December 14, 2017
    Tiffany Trader

    1
    IBM has announced an initiative to build commercially available “IBM Q” universal quantum computing systems.

    2
    IBM’s Q lab at its T.J. Watson research facility. (Connie Zhou/IBM)

    In the race to commercialize quantum computing, IBM is one of several companies leading the pack. Today, IBM announced it had signed JPMorgan Chase, Daimler AG, Samsung and a number of other corporations to its IBM Q Network, which provides online access to IBM’s experimental quantum computing systems. IBM is also establishing regional research hubs at IBM Research in New York, Oak Ridge National Lab in Tennessee, Keio University in Japan, Oxford University in the United Kingdom, and the University of Melbourne in Australia.

    2
    IBM Q system control panel (photo: IBM)

    Twelve organizations in total will be using the IBM prototype quantum computer via the company’s cloud service to accelerate quantum development as they explore a broad set of industrial and scientific applications. Other partners include JSR Corporation, Barclays, Hitachi Metals, Honda, and Nagase.

    Partners currently have access to the 20 qubit IBM Q system, which IBM announced last month, but Big Blue is also building an operational prototype 50 qubit processor, which will be made available in next generation IBM Q systems. The partners will specifically be looking to identify applications that will elicit a quantum advantage, such that they perform better or faster on a quantum machine than a classical one.

    IBM leadership believes we are at the dawn of the commercial quantum era. “The IBM Q Network will serve as a vehicle to make quantum computing more accessible to businesses and organizations through access to the most advanced IBM Q systems and quantum ecosystem,” said Dario Gil, vice president of AI and IBM Q, IBM Research in a statement. “Working closely with our clients, together we can begin to explore the ways big and small quantum computing can address previously unsolvable problems applicable to industries such as financial services, automotive or chemistry. There will be a shared focus on discovering areas of quantum advantage that may lead to commercial, intellectual and societal benefit in the future.”

    Experts from the newly formed IBM Q Consulting will be able to provide support and offer customized roadmaps to help clients become quantum-ready, says IBM.

    With IBM Q, IBM seeks to be the first tech company to deliver commercial universal quantum computing systems for and in tandem with industry and research users. Although today marks the start of its commercial network, IBM has been providing scientists, researchers, and developers with free access to IBM Q processors since May 2016 via the IBM Q Experience. According to the company, 60,000 registered users have collectively run more than 1.7 million experiments and generated over 35 third-party research publications.

    See the full article here .

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    HPCwire is the #1 news and information resource covering the fastest computers in the world and the people who run them. With a legacy dating back to 1987, HPC has enjoyed a legacy of world-class editorial and topnotch journalism, making it the portal of choice selected by science, technology and business professionals interested in high performance and data-intensive computing. For topics ranging from late-breaking news and emerging technologies in HPC, to new trends, expert analysis, and exclusive features, HPCwire delivers it all and remains the HPC communities’ most reliable and trusted resource. Don’t miss a thing – subscribe now to HPCwire’s weekly newsletter recapping the previous week’s HPC news, analysis and information at: http://www.hpcwire.com.

     
  • richardmitnick 11:23 am on July 1, 2017 Permalink | Reply
    Tags: Entanglement and quantum interference, IBM Q experience, Now an interface based on the popular programming language Python, , , , Supercomputers still rule   

    From SA: “Quantum Computing Becomes More Accessible” 

    Scientific American

    Scientific American

    June 26, 2017
    Dario Gil

    1
    Credit: World Economic Forum

    Quantum computing has captured imaginations for almost 50 years. The reason is simple: it offers a path to solving problems that could never be answered with classical machines. Examples include simulating chemistry exactly to develop new molecules and materials and solving complex optimization problems, which seek the best solution from among many possible alternatives. Every industry has a need for optimization, which is one reason this technology has so much disruptive potential.

    Until recently, access to nascent quantum computers was restricted to specialists in a few labs around the world. But progress over the past several years has enabled the construction of the world’s first prototype systems that can finally test out ideas, algorithms and other techniques that until now were strictly theoretical.

    Quantum computers tackle problems by harnessing the power of quantum mechanics. Rather than considering each possible solution one at a time, as a classical machine would, they behave in ways that cannot be explained with classical analogies. They start out in a quantum superposition of all possible solutions, and then they use entanglement and quantum interference to home in on the correct answer—processes that we do not observe in our everyday lives. The promise they offer, however, comes at the cost of them being difficult to build. A popular design requires superconducting materials (kept 100 times colder than outer space), exquisite control over delicate quantum states and shielding for the processor to keep out even a single stray ray of light.

    Existing machines are still too small to fully solve problems more complex than supercomputers can handle today. Nevertheless, tremendous progress has been made. Algorithms have been developed that will run faster on a quantum machine. Techniques now exist that prolong coherence (the lifetime of quantum information) in superconducting quantum bits by a factor of more than 100 compared with 10 years ago. We can now measure the most important kinds of quantum errors. And in 2016 IBM provided the public access to the first quantum computer in the cloud—the IBM Q experience—with a graphical interface for programming it and now an interface based on the popular programming language Python. Opening this system to the world has fueled innovations that are vital for this technology to progress, and to date more than 20 academic papers have been published using this tool. The field is expanding dramatically. Academic research groups and more than 50 start-ups and large corporations worldwide are focused on making quantum computing a reality.

    With these technological advancements and a machine at anyone’s fingertips, now is the time for getting “quantum ready.” People can begin to figure out what they would do if machines existed today that could solve new problems. And many quantum computing guides are available online to help them get started.

    There are still many obstacles. Coherence times must improve, quantum error rates must decrease, and eventually, we must mitigate or correct the errors that do occur. Researchers will continue to drive innovations in both the hardware and software. Investigators disagree, however, over which criteria should determine when quantum computing has achieved technological maturity. Some have proposed a standard defined by the ability to perform a scientific measurement so obscure that it is not easily explained to a general audience. I and others disagree, arguing that quantum computing will not have emerged as a technology until it can solve problems that have commercial, intellectual and societal importance. The good news is, that day is finally within our sights.

    See the full article here .

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    Scientific American, the oldest continuously published magazine in the U.S., has been bringing its readers unique insights about developments in science and technology for more than 160 years.

     
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