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The U.S. National Science Foundation (NSF) is establishing three new institutes "designed to have a tangible impact" on the challenges presented by quantum computing over the next five years.
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A group of U.S. and German physicists have found surprising evidence that one of the most famous phenomena in modern physics could be used to build fault-tolerant quantum computers.
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The National Science Foundation is coordinating with the leading cloud platform providers to boost academic research and build capacity for the development of quantum computing.
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Quantum computing company D-Wave Systems is giving researchers studying the coronavirus free access to its hardware quantum systems, the company announced.
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Google has unveiled a new software framework for quantum machine learning called TensorFlow Quantum (TFQ) that's designed for rapid prototyping of hybrid quantum/classical machine learning models.
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Honeywell is planning to launch a new quantum computer later this year that it claims will be two times more powerful than any other machine of this type.
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Called Boulder Opal, the Python-based toolset is aimed at developers and R&D teams using quantum control in their hardware or theoretical research.
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Scientists from IBM Research and the University of Notre Dame have shown that the environmental "noise" that destroys the fragile quantum state of qubits, and typically impedes quantum computer use, can actually be an advantage over classical computing in chemical simulations.
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Intel Labs, the research arm of Intel Corporation, has unveiled a first-of-its-kind cryogenic control chip designed to speed development of full-stack quantum computing systems.
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Xanadu, which is the developer of the open source PennyLane quantum machine learning (QML) software, recently received a grant from Defense Advanced Research Projects Agency (DARPA) to continue its research in the QML space.
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This week Amazon Web Services (AWS) announced Amazon Braket, a new managed service for quantum computing via the AWS cloud.