1.1k citations · 2.4k across the 13 of their papers we have counts for
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cs.NE2017★ 6 cited
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz
Andrew Hallam, Edward Grant, Vid Stojevic +2
This paper demonstrates a method for tensorizing neural networks based upon an efficient way of approximating scale invariant quantum states, the Multi-scale Entanglement Renormali…
quant-ph2017★ 76 cited
Learning hard quantum distributions with variational autoencoders
Andrea Rocchetto, Edward Grant, Sergii Strelchuk +2
Studying general quantum many-body systems is one of the major challenges in modern physics because it requires an amount of computational resources that scales exponentially with…