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    You are at:Home»News»IBM Unveils Multiple Collaborations to Accelerate Quantum Computing
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    IBM Unveils Multiple Collaborations to Accelerate Quantum Computing

    By WashingtonExec Staff WriterJanuary 4, 2018
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    Dario Gil, vice president of AI and IBM Q, IBM Research.

    IBM announced Dec. 14 the first clients who will tap into its IBM-Q early access computing systems. Those selected will explore the practical applications of quantum computing systems in business and science fields. They include: JPMorgan Chase, Daimler AG, Samsung, JSR Corp., Barclays, Hitachi Metals, Honda, Nagase, Keio University, Oak Ridge National Lab, Oxford University and University of Melborne.

    The IBM Q Network provides organizations with quantum expertise and resources and cloud-based access to the most advanced and scalable universal quantum computing systems.

    “IBM sees the next few years as the dawn of the commercial quantum era – a formative period when quantum computing technology and its early use cases develop rapidly,” Dario Gil, vice president of AI and IBM Q, IBM Research, said in a statement. “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.”

    In addition to the exploration of application, IBM Q Network will establish global hubs for quantum research in the U.S, U.K., Australia and Japan. These hubs will enable industry and research collaborators to have online use of IBM Q systems and engage in joint development.

    “Providing access to real quantum computing hardware is fundamental to accelerating the development of applications and programs important to UT-Battelle, LLC., the managing and operating contractor at the Department of Energy’s Oak Ridge National Laboratory (ORNL),” said Jeff Nichols, associate laboratory director, Oak Ridge National Laboratory. “Establishing ORNL as a hub of the IBM Q Network would again demonstrate that UT-Battelle is at the forefront of innovation, enabled by the world’s most advanced computational systems, and will continue to drive transformational advancements in science and research.”

    For more information, click here.

     

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