Stochastic gradient descent for hybrid quantum-classical optimization

Volume: 4, Pages: 314 - 314
Published: Aug 31, 2020
Abstract
Within the context of hybrid quantum-classical optimization, gradient descent based optimizers typically require the evaluation of expectation values with respect to the outcome of parameterized quantum circuits. In this work, we explore the consequences of the prior observation that estimation of these quantities on quantum hardware results in a form of stochastic gradient descent optimization. We formalize this notion, which allows us to show...
Paper Details
Title
Stochastic gradient descent for hybrid quantum-classical optimization
Published Date
Aug 31, 2020
Journal
Volume
4
Pages
314 - 314
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