Impact of Measurement Noise on Escaping Saddles in Variational Quantum Algorithms

Eriko Kaminishi, Takashi Mori, Michihiko Sugawara +1

Stochastic gradient descent (SGD) is a frequently used optimization technique in classical machine learning and Variational Quantum Eigensolver (VQE). For the implementation of VQE…