Can Neural Quantum States Learn Volume-Law Ground States?-Reference-Cited by-同舟云学术

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Can Neural Quantum States Learn Volume-Law Ground States?

Published:2023-07-17 Issue:3 Volume:131 Page:
ISSN:0031-9007
Container-title:Physical Review Letters
language:en
Short-container-title:Phys. Rev. Lett.

Author:

Passetti Giacomo^ORCID,Hofmann Damian^ORCID,Neitemeier Pit^ORCID,Grunwald Lukas^ORCID,Sentef Michael A.^ORCID,Kennes Dante M.

Funder

Deutsche Forschungsgemeinschaft

Max Planck-New York City Center for Nonequilibrium Quantum Phenomena

Cluster of Excellence Matter and Light for Quantum Computing

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.131.036502/fulltext

Reference52 articles.

1. Matrix product states represent ground states faithfully

2. Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems

3. Colloquium: Area laws for the entanglement entropy

4. The density-matrix renormalization group in the age of matrix product states

5. Matrix product states and projected entangled pair states: Concepts, symmetries, theorems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unifying view of fermionic neural network quantum states: From neural network backflow to hidden fermion determinant states;Physical Review B;2024-09-12

2. Can Neural Quantum States Learn Volume-Law Ground States?;Physical Review Letters;2023-07-17

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