5 citations · 8 across the 9 of their papers we have counts for
8 papers · 1 filter
Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions
Tenzan Araki, James Stokes, Shravan Veerapaneni
Digital quantum simulation (DQS) of continuous-variable quantum systems in the position basis requires efficient implementation of diagonal unitaries approximating the time evoluti…
Toward Neural Network Simulation of Variational Quantum Algorithms
Oliver Knitter, James Stokes, Shravan Veerapaneni
Variational quantum algorithms (VQAs) utilize a hybrid quantum-classical architecture to recast problems of high-dimensional linear algebra as ones of stochastic optimization. Desp…
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo
James Stokes, Brian Chen, Shravan Veerapaneni
This article aims to summarize recent and ongoing efforts to simulate continuous-variable quantum systems using flow-based variational quantum Monte Carlo techniques, focusing for…
Continuous-variable neural-network quantum states and the quantum rotor model
James Stokes, Saibal De, Shravan Veerapaneni +1
We initiate the study of neural-network quantum state algorithms for analyzing continuous-variable lattice quantum systems in first quantization. A simple family of continuous-vari…
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…
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…