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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:

Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape
Marin Bukov, Markus Schmitt, Maxime Dupont
SciPost Physics (2021) Vol. 10, Iss. 6
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Filippo Vicentini, Damian Hofmann, Attila Szabó, et al.
SciPost Physics Codebases (2022)
Open Access | Times Cited: 95
Transformer Variational Wave Functions for Frustrated Quantum Spin Systems
Luciano Loris Viteritti, Riccardo Rende, Federico Becca
Physical Review Letters (2023) Vol. 130, Iss. 23
Open Access | Times Cited: 42
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: 21
Message-passing neural quantum states for the homogeneous electron gas
Gabriel Pescia, Jannes Nys, Jane Kim, et al.
Physical review. B./Physical review. B (2024) Vol. 110, Iss. 3
Open Access | Times Cited: 19
Broken-Symmetry Ground States of the Heisenberg Model on the Pyrochlore Lattice
Nikita Astrakhantsev, Tom Westerhout, Apoorv Tiwari, et al.
Physical Review X (2021) Vol. 11, Iss. 4
Open Access | Times Cited: 90
Neural-network quantum states for periodic systems in continuous space
Gabriel Pescia, Jiequn Han, Alessandro Lovato, et al.
Physical Review Research (2022) Vol. 4, Iss. 2
Open Access | Times Cited: 44
Variational Quantum-Neural Hybrid Eigensolver
Shi‐Xin Zhang, Zhou‐Quan Wan, Chee‐Kong Lee, et al.
Physical Review Letters (2022) Vol. 128, Iss. 12
Open Access | Times Cited: 43
Neural Error Mitigation of Near-Term Quantum Simulations
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 7, pp. 618-624
Closed Access | Times Cited: 41
Optimizing design choices for neural quantum states
Moritz Reh, Markus Schmitt, Martin Gärttner
Physical review. B./Physical review. B (2023) Vol. 107, Iss. 19
Open Access | Times Cited: 34
High-accuracy variational Monte Carlo for frustrated magnets with deep neural networks
Christopher Roth, Attila Szabó, A. H. MacDonald
Physical review. B./Physical review. B (2023) Vol. 108, Iss. 5
Open Access | Times Cited: 34
Building spatial symmetries into parameterized quantum circuits for faster training
Frédéric Sauvage, Martín Larocca, Patrick J. Coles, et al.
Quantum Science and Technology (2023) Vol. 9, Iss. 1, pp. 015029-015029
Open Access | Times Cited: 32
Speeding Up Learning Quantum States Through Group Equivariant Convolutional Quantum Ansätze
Han Zheng, Zimu Li, Junyu Liu, et al.
PRX Quantum (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 26
Neural network approach to quasiparticle dispersions in doped antiferromagnets
Hannah Lange, Fabian Döschl, Juan Carrasquilla, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
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
Hidden-nucleons neural-network quantum states for the nuclear many-body problem
Alessandro Lovato, C. Adams, Giuseppe Carleo, et al.
Physical Review Research (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 34
Role of stochastic noise and generalization error in the time propagation of neural-network quantum states
Damian Hofmann, G. Fabiani, Johan H. Mentink, et al.
SciPost Physics (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 29
Investigating topological order using recurrent neural networks
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
Physical review. B./Physical review. B (2023) Vol. 108, Iss. 7
Closed Access | Times Cited: 19
From tensor-network quantum states to tensorial recurrent neural networks
Dian Wu, Riccardo Rossi, Filippo Vicentini, et al.
Physical Review Research (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 18
Neural-network quantum states for many-body physics
Matija Medvidović, Javier Robledo Moreno
The European Physical Journal Plus (2024) Vol. 139, Iss. 7
Closed Access | Times Cited: 7
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
Expressive power of complex-valued restricted Boltzmann machines for solving nonstoquastic Hamiltonians
Chae-Yeun Park, Michael J. Kastoryano
Physical review. B./Physical review. B (2022) Vol. 106, Iss. 13
Open Access | Times Cited: 24
Accuracy of restricted Boltzmann machines for the one-dimensional $J_1-J_2$ Heisenberg model
Luciano Loris Viteritti, Francesco Ferrari, Federico Becca
SciPost Physics (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 23
Efficient optimization of deep neural quantum states toward machine precision
Ao Chen, Markus Heyl
arXiv (Cornell University) (2023)
Open Access | Times Cited: 13
Enhancing variational Monte Carlo simulations using a programmable quantum simulator
M. Schuyler Moss, Sepehr Ebadi, Tout T. Wang, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 3
Closed Access | Times Cited: 5
Determinant-free fermionic wave function using feed-forward neural networks
Koji Inui, Yasuyuki Kato, Yukitoshi Motome
Physical Review Research (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 31
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