QUANTUM PROCESS LEARNING BASED ON GRADIENT VALUE ESTIMATES

Abstract

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to quantum process learning based on gradient value estimates. A system can comprise a memory that can store computer executable components. The system can further comprise a processor that can execute the computer executable components stored in the memory, where the computer executable components can comprise a measurement component that generates respective expectation values by measuring a plurality of observables at respective discrete time points for a plurality of initial quantum states in a quantum system. The computer executable components can also comprise a computation component that can compute a gradient based on respective expectation values corresponding to respective discrete time points. The computer executable components can further comprise an estimation component that can estimate a set of gradient values by evaluating the gradient at a set of time points.

CPC Classifications