NQN Seminar Series: Can Quantum Computers Speed up Gradient Descent?

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November 25, 2020: Gradient descent is a popular algorithm in machine learning and optimization and finds many applications in theory and in practice. Microsoft Quantum Senior Researcher Robin Kothari asks, “Can quantum computers speed up this algorithm?” During this Northwest Quantum Nexus seminar, Kothari will discuss the meaning of the question, formalize the question in the context of prior work in this setting, and answer the question posed in this context.

Quantum Technologies for High Energy Physics: the CERN Quantum Technology Initiative

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November 5, 2020: This talk by Dr. Sofia Vallecorsa highlights the main objectives and current activities of the CERN Quantum Technology Initiative. A special emphasis will be placed on the Quantum Computing aspect and the activities carried out by CERN openlab, outlining the initial investigations that use quantum machine learning in High Energy Physics.