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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.
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IBM has announced that -- within the next month -- its commercially available cloud-based quantum computing online offering is going to include a new 53-qubit quantum computer.
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Three vendors -- DigiCert Inc., Isara Corp. and Gemalto -- have announced they are forming a partnership to create "advanced, quantum-safe" security solutions for IoT devices.