Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Empowering deep neural quantum states through efficient optimization
Ao Chen, Markus Heyl
Nature Physics (2024) Vol. 20, Iss. 9, pp. 1476-1481
Open Access | Times Cited: 20

Showing 20 citing articles:

A simple linear algebra identity to optimize large-scale neural network quantum states
Riccardo Rende, Luciano Loris Viteritti, Lorenzo Bardone, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 20
Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems
Hannah Lange, Guillaume Bornet, Gabriel Emperauger, et al.
Quantum (2025) Vol. 9, pp. 1675-1675
Open Access | Times Cited: 1
Neural network quantum states for the interacting Hofstadter model with higher local occupations and long-range interactions
Fabian Döschl, Felix A. Palm, Hannah Lange, et al.
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 4
Open Access | Times Cited: 1
Variational neural and tensor network approximations of thermal states
Sirui Lu, Giacomo Giudice, J. I. Cirac
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 7
Open Access | Times Cited: 1
Efficient optimization of variational autoregressive networks with natural gradient
Jing Liu, Ying Tang, Pan Zhang
Physical review. E (2025) Vol. 111, Iss. 2
Closed Access | Times Cited: 1
From Architectures to Applications: A Review of Neural Quantum States
Hannah Lange, Anka Van de Walle, Atiye Abedinnia, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 4, pp. 040501-040501
Open Access | Times Cited: 6
Scalable tensor network algorithm for thermal quantum many-body systems in two dimensions
Meng Zhang, Hao Zhang, Chao Wang, et al.
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 7
Closed Access
Machine learning stochastic dynamics
Ying Tang
Zhongguo kexue. Wulixue Lixue Tianwenxue (2025) Vol. 55, Iss. 10, pp. 100501-100501
Closed Access
Defining quantum-ready primitives for hybrid HPC-QC supercomputing: a case study in Hamiltonian simulation
Andrea Delgado, Prasanna Date
Frontiers in Computer Science (2025) Vol. 7
Open Access
Phase diagram of the J1−J2 Heisenberg second-order topological quantum magnet
Pascal M. Vecsei, José L. Lado
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Efficiency of neural quantum states in light of the quantum geometric tensor
Sidhartha Dash, Luca Gravina, Filippo Vicentini, et al.
Communications Physics (2025) Vol. 8, Iss. 1
Open Access
Neural quantum state study of fracton models
Marc Machaczek, Lode Pollet, Ke Liu
SciPost Physics (2025) Vol. 18, Iss. 3
Open Access
Transformer wave function for two dimensional frustrated magnets: Emergence of a spin-liquid phase in the Shastry-Sutherland model
Luciano Loris Viteritti, Riccardo Rende, Alberto Parola, et al.
Physical review. B./Physical review. B (2025) Vol. 111, Iss. 13
Open Access
Simple Fermionic backflow states via a systematically improvable tensor decomposition
Massimo Bortone, Yannic Rath, George H. Booth
Communications Physics (2025) Vol. 8, Iss. 1
Open Access
Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation
Jannes Nys, Gabriel Pescia, Alessandro Sinibaldi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Fine-tuning neural network quantum states
Riccardo Rende, Sebastian Goldt, Federico Becca, et al.
Physical Review Research (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Are queries and keys always relevant? A case study on Transformer wave functions
Riccardo Rende, Luciano Loris Viteritti
Machine Learning Science and Technology (2024) Vol. 6, Iss. 1, pp. 010501-010501
Open Access | Times Cited: 1
Deep learning lattice gauge theories
Anuj Apte, Clay Córdova, Tzu-Chen Huang, et al.
Physical review. B./Physical review. B (2024) Vol. 110, Iss. 16
Open Access
A hybrid method integrating Green's function Monte Carlo and projected entangled pair states
He-Yu 赫羽 Lin 林, Rong-Qiang 荣强 He 贺, Yibin 奕斌 Guo 郭, et al.
Chinese Physics B (2024) Vol. 33, Iss. 11, pp. 117504-117504
Closed Access
Quantum Many-Body Solver Using Artificial Neural Networks and its Applications to Strongly Correlated Electron Systems
Yusuke Nomura, Masatoshi Imada
Journal of the Physical Society of Japan (2024) Vol. 94, Iss. 3
Open Access
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