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neural-network quantum state

technology5 mentionslast seen Nov 4, 2026

A representation of quantum states using neural networks.

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Neural Foundation-state Subspace methoddepends onneural-network quantum state90% confidence1 source
Renyi entropydepends onneural-network quantum state88% confidence1 source
neural-network quantum statedepends onvariational principle85% confidence1 source
neural-network quantum stateapplies toquantum many-body physics85% confidence1 source
neural-network quantum stateapplies toquantum many-body physics simulation85% confidence1 source
variational Monte Carlodepends onneural-network quantum state85% confidence1 source
neural-network quantum statedepends onvariational method82% confidence1 source
neural-network quantum stateapplies toquantum phase transition characterization75% confidence1 source

neural-network quantum state

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Neural Foundation-state Subspace methoddepends onneural-network quantum state

90% confidence1 supporting mentions

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preprintarXivSep 18, 2026Kibble-Zurek Dynamics in Two-dimensional Frustrated Systems with a Neural Foundation-state Subspace Method
A foundation neural-network quantum state represents the ground-state manifold along the driving path, and a small fidelity-selected subset defines a fixed variational subspace.