Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks

2 Jan 2020M. CerezoAkira SoneTyler VolkoffLukasz CincioPatrick J. Coles

Variational quantum algorithms (VQAs) optimize the parameters $\boldsymbol{\theta}$ of a quantum neural network $V(\boldsymbol{\theta})$ to minimize a cost function $C$. While VQAs may enable practical applications of noisy quantum computers, they are nevertheless heuristic methods with unproven scaling... (read more)

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