Author

S. Cochran

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Preprint Jul 2026

Equivariant Continuous Normalizing Flows with Offline Sampling for Fermionic Ground State Estimation

An augmented dynamics formulation for kinetic energy computation that co-evolves the required derivative quantities as ODE state variables, eliminating differentiation through the ODE trajectory and yielding significant reductions in wall-clock time and memory is introduced.

S. Cochran, James B. Larsen, Andrew Wray et al. · 0 citations

#protein folding Preprint Aug 2026

Scalable quantum simulation of continuous-time generative models via tensor networks

The first numerical study of continuous-time flow and diffusion models is presented, in which time-dependent potentials and states are represented as tensor networks, and a coherent amplitude encoding is prepared that can be post-processed by quantum algorithms offering a quadratic advantage over Monte Carlo sampling.

Nathan X. Kodama, L. Wray, S. Cochran et al. · 0 citations