3 papers
hep-lat2025
Efficient Learning of Lattice Gauge Theories with Fermions
Shreya Shukla, Yukari Yamauchi, Andrey Y. Lokhov +2
We introduce a learning method for recovering action parameters in lattice field theories. Our method is based on the minimization of a convex loss function constructed using the S…
hep-lat2024
Convex optimization and contour deformations
Scott Lawrence, Yukari Yamauchi
We discuss various formal aspects of contour deformations used to alleviate sign problems; most importantly, relating these contour deformations to a certain convex optimization pr…
quant-ph2024
Quantum states from normalizing flows
Scott Lawrence, Arlee Shelby, Yukari Yamauchi
We introduce an architecture for neural quantum states for many-body quantum-mechanical systems, based on normalizing flows. The use of normalizing flows enables efficient uncorrel…