Spiking neuromorphic chip learns entangled quantum states

Spiking neuromorphic chip learns entangled quantum states

The approximation of quantum states with artificial neural networks has gained a lot of attention during the last years. Meanwhile, analog neuromorphic chips, inspired by structural and dynamical properties of the biological brain, show a high energy efficiency in running artificial neural-networ...

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Bibliographic Details
Main Author: Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner
Format: Article
Language:English
Published: SciPost 2022-01-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.12.1.039

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https://scipost.org/SciPostPhys.12.1.039

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