Simultaneous approximation of multiple degenerate states using a single neural network quantum state

Neural network quantum states (NQSs) excel at approximating ground states of quantum many-body systems, but approximating all states of a degenerate manifold is nevertheless computationally expensive. We propose a single-trunk multi-head (ST-MH) NQS ensemble that shares a feature-extracting trunk wh...

Ausführliche Beschreibung

Bibliografische Detailangaben

1. Verfasser:	Waleed Sherif
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IOP Publishing 2026-01-01
Schriftenreihe:	Machine Learning: Science and Technology
Schlagworte:	variational Monte Carlo degenerate ground states neural network quantum state multi-state variational Monte Carlo
Online-Zugang:	https://doi.org/10.1088/2632-2153/ae3e39
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