Xanadu Awarded DARPA Grant to Investigate Quantum Machine Learning Algorithms on Available Hardware
(PRNewswire) Xanadu, a full-stack quantum computing and advanced AI company developing quantum hardware and software solutions, has been awarded a Defense Advanced Research Projects Agency (DARPA) grant. The grant will enable Xanadu to undertake a comprehensive investigation of the performance of quantum machine learning (QML) algorithms on currently available quantum computing hardware.
Xanada Award Indicates Crossover Between Quantum Computing and AI
“There is a strong crossover happening right now between quantum computing and AI,” said Nathan Killoran, who heads up Xanadu’s Quantum Machine Learning team. “Many signature ideas and concepts from AI can be ported to be quantum-aware, and run on quantum computing hardware. But it’s a bit of a wild west at the moment. We don’t really have a good sense yet which of these ported machine learning methods are best suited to quantum computing, especially with today’s noisy and imperfect quantum hardware devices.”
Xanadu has been developing an open-source software platform for QML, known as PennyLane over the past two years. PennyLane allows users to connect quantum computing hardware and software from multiple vendors—Xanadu, IBM, Google, Rigetti, and Microsoft—with popular machine learning libraries like TensorFlow and PyTorch. This seamless integration will enable Xanadu researchers to systematically explore the performance of a variety of near-term QML algorithms on multiple hardware devices.
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