2 papers
cond-mat.stat-mech2026
Minimal-Dissipation Learning for Energy-Based Models
Jeff Hnybida, Simon Verret
We show that the bias of the approximate maximum-likelihood estimation (MLE) objective of a persistent chain energy-based model (EBM) is precisely equal to the thermodynamic excess…
quant-ph2026
Computing Green's functions and improving ground state energy estimation on quantum computers with Liouvillian recursion
Jérôme Leblanc, Olivier Nahman-Lévesque, Julien Forget +3
We present a quantum-classical hybrid implementation of the Liouvillian recursion method to compute many-body Green's functions using a quantum computer. From an approximate ground…