Skip to content
Independent research & intelligence
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Conference paper

Computing quantum entanglement with machine learning

Andrea Bulgarelli; Elia Cellini; Karl Jansen; Stefan Kühn; Alessandro Nada; Shinichi Nakajima; Kim A. Nicoli; Marco Panero

Published
Publisher
SISSA Medialab
Journal / collection
Proceedings of The 42nd International Symposium on Lattice Field Theory — PoS(LATTICE2025)
Research area
AI & compute
Source type
Conference paper
DOI
10.22323/1.518.0127

Read the original source ↗

The original publisher provides the full text and its access options.

Cite this source

Andrea Bulgarelli; Elia Cellini; Karl Jansen; Stefan Kühn; Alessandro Nada; Shinichi Nakajima; Kim A. Nicoli; Marco Panero. Computing quantum entanglement with machine learning. Proceedings of The 42nd International Symposium on Lattice Field Theory — PoS(LATTICE2025). 2026-07-05. https://doi.org/10.22323/1.518.0127

Download RIS