3 papers
quant-ph2026
Scalable quantum simulation of continuous-time generative models via tensor networks
Nathan X. Kodama, L. Andrew Wray, Sam Cochran +3
Continuous-time flow and diffusion models are widely used across many application domains, from large-scale deployment in computer vision and protein folding to emerging adoption f…
quant-ph2026
Equivariant Continuous Normalizing Flows with Offline Sampling for Fermionic Ground State Estimation
Sam Cochran, James B. Larsen, Andrew Wray +3
We introduce a framework for fermionic variational Monte Carlo (VMC) in which a continuous normalizing flow (CNF) refines a fixed antisymmetric base wavefunction. The flow is imple…
quant-ph2024
An application of continuous-variable gate synthesis to quantum simulation of classical dynamics
Sam Cochran, James Stokes, Paramsothy Jayakumar +1
Although quantum computing holds promise to accelerate a wide range of computational tasks, the quantum simulation of quantum dynamics as originally envisaged by Feynman remains th…