Experimental verification of the quantum nature of a neural network

arXiv:2209.07577v3 Announce Type: replace-cross
Abstract: Neural networks are being used to improve the probing of the state spaces of many particle systems as approximations to wavefunctions and in order to avoid the recurring sign problem of quantum monte-carlo. One may ask whether the usual classical neural networks have some actual hidden quantum properties that make them such suitable tools for a highly coupled quantum problem. I discuss here what makes a system quantum and to what extent we can interpret …

abstract arxiv cs.lg cs.ne experimental monte-carlo nature network networks neural network neural networks particle quant-ph quantum spaces state systems type verification