32 citations · 87 across the 16 of their papers we have counts for
3 papers · 1 filter
Dynamics with autoregressive neural quantum states: application to critical quench dynamics
Kaelan Donatella, Zakari Denis, Alexandre Le Boité +1
Despite very promising results, capturing the dynamics of complex quantum systems with neural-network ansätze has been plagued by several problems, one of which being stochastic no…
Machine learning via relativity-inspired quantum dynamics
Zejian Li, Valentin Heyraud, Kaelan Donatella +2
We present a machine-learning scheme based on the relativistic dynamics of a quantum system, namely a quantum detector inside a cavity resonator. An equivalent analog model can be…
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…