101 citations · 303 across the 14 of their papers we have counts for
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quant-ph2019★ 29 cited
Variational autoencoder reconstruction of complex many-body physics
I. Luchnikov, A. Ryzhov, P. -J. C. Stas +2
Given the notably increasing complexity of mathematical models to study realistic systems and their coupling to their environment that constrains their dynamics, both analytical ap…
quant-ph2019★ 101 cited
Machine learning non-Markovian quantum dynamics
I. A. Luchnikov, S. V. Vintskevich, D. A. Grigoriev +1
Machine learning methods have proved to be useful for the recognition of patterns in statistical data. The measurement outcomes are intrinsically random in quantum physics, however…