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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:

Time-Dependent Variational Principle for Open Quantum Systems with Artificial Neural Networks
Moritz Reh, Markus Schmitt, Martin Gärttner
Physical Review Letters (2021) Vol. 127, Iss. 23
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Efficient quantum state tomography with convolutional neural networks
Tobias Schmale, Moritz Reh, Martin Gärttner
npj Quantum Information (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 43
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
Physics-Informed Neural Networks for Quantum Control
Ariel Norambuena, Marios Mattheakis, F.J. Gonzalez, et al.
Physical Review Letters (2024) Vol. 132, Iss. 1
Open Access | Times Cited: 13
Learning nonequilibrium statistical mechanics and dynamical phase transitions
Ying Tang, Jing Liu, Jiang Zhang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Variational Monte Carlo with large patched transformers
Kyle Sprague, Stefanie Czischek
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 11
Language models for quantum simulation
Roger G. Melko, Juan Carrasquilla
Nature Computational Science (2024) Vol. 4, Iss. 1, pp. 11-18
Closed Access | Times Cited: 10
Dynamics with autoregressive neural quantum states: Application to critical quench dynamics
Kaelan Donatella, Zakari Denis, Alexandre Le Boité, et al.
Physical review. A/Physical review, A (2023) Vol. 108, Iss. 2
Open Access | Times Cited: 21
Deep learning of quantum entanglement from incomplete measurements
Dominik Koutný, Laia Ginés, Magdalena Moczała-Dusanowska, et al.
Science Advances (2023) Vol. 9, Iss. 29
Open Access | Times Cited: 20
Numerical simulation of long-range open quantum many-body dynamics with tree tensor networks
Dominik Sulz, Christian Lubich, Gianluca Ceruti, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 2
Open 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
Real-time quantum dynamics of thermal states with neural thermofields
Jannes Nys, Zakari Denis, Giuseppe Carleo
Physical review. B./Physical review. B (2024) Vol. 109, Iss. 23
Closed Access | Times Cited: 5
HEOM‐QUICK2: A general‐purpose simulator for fermionic many‐body open quantum systems—An update
Daochi Zhang, Lyuzhou Ye, Jiaan Cao, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 4
Closed Access | Times Cited: 5
Scaling of Neural‐Network Quantum States for Time Evolution
Sheng-Hsuan Lin, Frank Pollmann
physica status solidi (b) (2021) Vol. 259, Iss. 5
Open Access | Times Cited: 30
Stable bipolarons in open quantum systems
Mattia Moroder, M. Grundner, François Damanet, et al.
Physical review. B./Physical review. B (2023) Vol. 107, Iss. 21
Open Access | Times Cited: 11
Transfer learning from Hermitian to non-Hermitian quantum many-body physics
Sharareh Sayyad, José L. Lado
Journal of Physics Condensed Matter (2024) Vol. 36, Iss. 18, pp. 185603-185603
Open Access | Times Cited: 4
Adaptive variational low-rank dynamics for open quantum systems
Luca Gravina, Vincenzo Savona
Physical Review Research (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 4
Neural quantum propagators for driven-dissipative quantum dynamics
Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Spin- 1/2 Kagome Heisenberg Antiferromagnet: Machine Learning Discovery of the Spinon Pair-Density-Wave Ground State
Tanja Đurić, Jia Hui Chung, Bo Yang, et al.
Physical Review X (2025) Vol. 15, Iss. 1
Open Access
Paths towards time evolution with larger neural-network quantum states
Wenxuan Zhang, Bo Xing, Xiansong Xu, et al.
Computer Physics Communications (2025), pp. 109577-109577
Closed Access
Nonequilibrium statistical mechanics revealed by Doob h transform and variational autoregressive networks
Yixin Zhao, Ying Tang, Pan Zhang
Physical review. E (2025) Vol. 111, Iss. 3
Closed Access
Simulating many-body open quantum systems by harnessing the power of artificial intelligence and quantum computing
Lyuzhou Ye, Yao Wang, Xiao Zheng
The Journal of Chemical Physics (2025) Vol. 162, Iss. 12
Closed Access
Optimal form of time-local non-Lindblad master equations
Tobias Becker, André Eckardt
Physical review. E (2025) Vol. 111, Iss. 3
Open Access
Stabilizing steady-state properties of open quantum systems with parameter engineering
Koray Aydoğan, Anthony W. Schlimgen, Kade Head-Marsden
Physical Review Research (2025) Vol. 7, Iss. 2
Open Access
Highly Resolved Spectral Functions of Two-Dimensional Systems with Neural Quantum States
Tiago Mendes-Santos, Markus Schmitt, Markus Heyl
Physical Review Letters (2023) Vol. 131, Iss. 4
Open Access | Times Cited: 9
Mapping Out Phase Diagrams with Generative Classifiers
Julian Arnold, Frank Schäfer, Alan Edelman, et al.
Physical Review Letters (2024) Vol. 132, Iss. 20
Open Access | Times Cited: 3
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