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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:

Self-correcting quantum many-body control using reinforcement learning with tensor networks
Friederike Metz, Marin Bukov
Nature Machine Intelligence (2023) Vol. 5, Iss. 7, pp. 780-791
Open Access | Times Cited: 19

Showing 19 citing articles:

Entanglement engineering of optomechanical systems by reinforcement learning
Lili Ye, Christian Arenz, Joseph M. Lukens, et al.
APL Machine Learning (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 2
Controlling nonergodicity in quantum many-body systems by reinforcement learning
Lili Ye, Ying‐Cheng Lai
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Toward Heisenberg Limit without Critical Slowing Down via Quantum Reinforcement Learning
Hang Xu, Tailong Xiao, Jing-Zheng Huang, et al.
Physical Review Letters (2025) Vol. 134, Iss. 12
Closed Access
Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
Edward Gillman, D. C. Rose, Juan P. Garrahan
Physical Review Letters (2024) Vol. 132, Iss. 19
Open Access | Times Cited: 3
Controlling quantum many-body systems using reduced-order modeling
I. A. Luchnikov, Maxim A. Gavreev, Aleksey K. Fedorov
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 2
Tensor Networks for Interpretable and Efficient Quantum-Inspired Machine Learning
Shi-Ju Ran, Gang Su
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 4
Efficient relation extraction via quantum reinforcement learning
Xianchao Zhu, Yashuang Mu, Xuetao Wang, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 4009-4018
Open Access | Times Cited: 1
Tangent Space Generators of Matrix Product States and Exact Floquet Quantum Scars
Marko Ljubotina, Elena Petrova, Norbert Schuch, et al.
PRX Quantum (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 1
Discrete real-time learning of quantum-state subspace evolution of many-body systems in the presence of time-dependent control fields
Shaojun Gui, Tak‐San Ho, Herschel Rabitz
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 5
Closed Access | Times Cited: 1
End-to-end variational quantum sensing
Benjamin MacLellan, Piotr Roztocki, Stefanie Czischek, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Fast Quantum Gate Design with Deep Reinforcement Learning Using Real-Time Feedback on Readout Signals
Emily Wright, Rogério de Sousa
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 1295-1303
Open Access | Times Cited: 3
Many-body control with reinforcement learning and tensor networks
Ying Lü, Shi-Ju Ran
Nature Machine Intelligence (2023) Vol. 5, Iss. 10, pp. 1058-1059
Closed Access | Times Cited: 2
A machine learning ride in the physics theme park: from quantum to biophysics
Borja Requena
(2024)
Open Access
Enhancing distributed agent environments with quantum multi-agent systems and protocols
A Jenefa, K. Vidhya, Antony Taurshia, et al.
Multiagent and Grid Systems (2024) Vol. 20, Iss. 2, pp. 109-127
Closed Access
Planning with tensor networks based on active inference
Samuel T. Wauthier, Tim Verbelen, Bart Dhoedt, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045012-045012
Open Access
Simultaneous discovery of quantum error correction codes and encoders with a noise-aware reinforcement learning agent
Jan Ollé, Remmy Zen, Matteo Puviani, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access
Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems
Anal Paul, Keshav Singh, Aryan Kaushik, et al.
(2024)
Open Access
Fast quantum gate design with deep reinforcement learning using real-time feedback on readout signals
Emily Wright, Rogério de Sousa
arXiv (Cornell University) (2023)
Open Access
Variational quantum dynamics of two-dimensional rotor models
Matija Medvidović, Dries Sels
arXiv (Cornell University) (2022)
Open Access
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