468 citations · 1k across the 30 of their papers we have counts for
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Gauge equivariant neural networks for quantum lattice gauge theories
Di Luo, Giuseppe Carleo, Bryan K. Clark +1
Gauge symmetries play a key role in physics appearing in areas such as quantum field theories of the fundamental particles and emergent degrees of freedom in quantum materials. Mot…
Meta Variational Monte Carlo
Tianchen Zhao, James Stokes, Oliver Knitter +2
An identification is found between meta-learning and the problem of determining the ground state of a randomly generated Hamiltonian drawn from a known ensemble. A model-agnostic m…
Holographic 2-Point Functions in the Pseudo-Conformal Universe
Mariana Carrillo-Gonzalez, Kurt Hinterbichler, James Stokes +1
We holographically calculate two-point functions in the pseudo-conformal universe, an early universe alternative to inflation. The pseudo-conformal universe can be modeled as a def…
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states
James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis +1
First-quantized deep neural network techniques are developed for analyzing strongly coupled fermionic systems on the lattice. Using a Slater-Jastrow inspired ansatz which exploits…
Natural evolution strategies and variational Monte Carlo
Tianchen Zhao, Giuseppe Carleo, James Stokes +1
A notion of quantum natural evolution strategies is introduced, which provides a geometric synthesis of a number of known quantum/classical algorithms for performing classical blac…