BriefGPT.xyz
Oct, 2020
纠缠引发的无效平台
Entanglement Induced Barren Plateaus
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Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe
TL;DR
量子神经网络中过量的量子纠缠会妨碍学习,且通常存在着由纠缠引起的优化荒原;预训练这些生成模型可能会提供一种规避荒原的方法。
Abstract
We argue that an excess in
entanglement
between the visible and hidden units in a Quantum Neural Network can hinder learning. In particular, we show that
quantum neural networks
that satisfy a volume-law in the <
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