11 citations · 15 across the 11 of their papers we have counts for
18 papers
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…
Tensor-Train Compression of Discrete Element Method Simulation Data
Saibal De, Eduardo Corona, Paramsothy Jayakumar +1
We propose a framework for discrete scientific data compression based on the tensor-train (TT) decomposition. Our approach is tailored to handle unstructured output data from discr…
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…
Shape optimization of peristaltic pumps transporting rigid particles in Stokes flow
Marc Bonnet, Ruowen Liu, Shravan Veerapaneni +1
This paper presents a computational approach for finding the optimal shapes of peristaltic pumps transporting rigid particles in Stokes flow. In particular, we consider shapes that…
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…