210 citations · 2.1k across the 53 of their papers we have counts for
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Ground States of Quantum Many Body Lattice Models via Reinforcement Learning
Willem Gispen, Austen Lamacraft
We introduce reinforcement learning (RL) formulations of the problem of finding the ground state of a many-body quantum mechanical model defined on a lattice. We show that stoquast…
Ergodic and non-ergodic dual-unitary quantum circuits with arbitrary local Hilbert space dimension
Pieter W. Claeys, Austen Lamacraft
Dual-unitary quantum circuits can be used to construct 1+1 dimensional lattice models for which dynamical correlations of local observables can be explicitly calculated. We show ho…
Quantum Ground States from Reinforcement Learning
Ariel Barr, Willem Gispen, Austen Lamacraft
Finding the ground state of a quantum mechanical system can be formulated as an optimal control problem. In this formulation, the drift of the optimally controlled process is chose…
Maximum velocity quantum circuits
Pieter W. Claeys, Austen Lamacraft
We consider the long-time limit of out-of-time-order correlators (OTOCs) in two classes of quantum lattice models with time evolution governed by local unitary quantum circuits and…