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LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks. (arXiv:2205.02666v1 [quant-ph])
cs.LG updates on arXiv.org arxiv.org
Variational quantum algorithms (VQAs) have recently received significant
attention from the research community due to their promising performance in
Noisy Intermediate-Scale Quantum computers (NISQ). However, VQAs run on
parameterized quantum circuits (PQC) with randomly initialized parameters are
characterized by barren plateaus (BP) where the gradient vanishes exponentially
in the number of qubits. In this paper, we first review quantum natural
gradient (QNG), which is one of the most popular algorithms used in VQA, from
the classical first-order optimization point of …
arxiv gradient laws natural networks neural networks quantum quantum neural networks