Measuring Analytic Gradients of General Quantum Evolution with the Stochastic Parameter Shift Rule

20 May 2020 Banchi Leonardo Crooks Gavin E.

Hybrid quantum-classical optimization algorithms represent one of the most promising application for near-term quantum computers. In these algorithms the goal is to optimize an observable quantity with respect to some classical parameters, using feedback from measurements performed on the quantum device... (read more)

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