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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:

Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving
Jiahao Yao, Lin Lin, Marin Bukov
Physical Review X (2021) Vol. 11, Iss. 3
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Quantum circuit architecture search for variational quantum algorithms
Yuxuan Du, Tao Huang, Shan You, et al.
npj Quantum Information (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 91
Digitized-counterdiabatic quantum approximate optimization algorithm
Pranav Chandarana, Narendra N. Hegade, Koushik Paul, et al.
Physical Review Research (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 73
Artificial intelligence and machine learning for quantum technologies
Mario Krenn, Jonas Landgraf, Thomas Foesel, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 1
Open Access | Times Cited: 73
Digitized Counterdiabatic Quantum Algorithm for Protein Folding
Pranav Chandarana, Narendra N. Hegade, Iraitz Montalban, et al.
Physical Review Applied (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 41
Shortcuts to Adiabaticity in Krylov Space
Kazutaka Takahashi, Adolfo del Campo
Physical Review X (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
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
Quantum Optimization via Four-Body Rydberg Gates
Clemens Dlaska, Kilian Ender, Glen Bigan Mbeng, et al.
Physical Review Letters (2022) Vol. 128, Iss. 12
Open Access | Times Cited: 39
Counterdiabatic Optimized Local Driving
Ieva Čepaitė, Anatoli Polkovnikov, Andrew J. Daley, et al.
PRX Quantum (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 39
Portfolio optimization with digitized counterdiabatic quantum algorithms
Narendra N. Hegade, Pranav Chandarana, Koushik Paul, et al.
Physical Review Research (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 37
Meta-learning digitized-counterdiabatic quantum optimization
Pranav Chandarana, Pablo Suárez Vieites, Narendra N. Hegade, et al.
Quantum Science and Technology (2023) Vol. 8, Iss. 4, pp. 045007-045007
Open Access | Times Cited: 23
Parameter Setting in Quantum Approximate Optimization of Weighted Problems
Shree Hari Sureshbabu, Dylan Herman, Ruslan Shaydulin, et al.
Quantum (2024) Vol. 8, pp. 1231-1231
Open Access | Times Cited: 13
Reinforcement learning assisted recursive QAOA
Yash J. Patel, Sofiène Jerbi, Thomas Bäck, et al.
EPJ Quantum Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Quantum imaginary time evolution steered by reinforcement learning
Chenfeng Cao, Zheng An, Shi‐Yao Hou, et al.
Communications Physics (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 28
Gradient-Ascent Pulse Engineering with Feedback
Riccardo Porotti, Vittorio Peano, Florian Marquardt
PRX Quantum (2023) Vol. 4, Iss. 3
Open Access | Times Cited: 21
Approximate Autonomous Quantum Error Correction with Reinforcement Learning
Ye‐Xiong Zeng, Zhengyang Zhou, Enrico Rinaldi, et al.
Physical Review Letters (2023) Vol. 131, Iss. 5
Open Access | Times Cited: 21
Molecular docking via quantum approximate optimization algorithm
Qi-Ming Ding, Yiming Huang, Xiao Yuan
Physical Review Applied (2024) Vol. 21, Iss. 3
Open Access | Times Cited: 7
Quantum optimization for training quantum neural networks
Yidong Liao, Min-Hsiu Hsieh, Christopher Ferrie
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers
Yuxuan Du, Tao Huang, Shan You, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 40
Digitized counterdiabatic quantum optimization
Narendra N. Hegade, Xi Chen, E. Solano
Physical Review Research (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 27
Counterdiabatic optimized driving in quantum phase sensitive models
Francesco Pio Barone, Oriel Kiss, Michele Grossi, et al.
New Journal of Physics (2024) Vol. 26, Iss. 3, pp. 033031-033031
Open Access | Times Cited: 5
Exponentially improved efficient machine learning for quantum many-body states with provable guarantees
Yanming Che, Clemens Gneiting, Franco Nori
Physical Review Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 5
Shortcuts to adiabaticity: theoretical framework, relations between different methods, and versatile approximations
Takuya Hatomura
Journal of Physics B Atomic Molecular and Optical Physics (2024) Vol. 57, Iss. 10, pp. 102001-102001
Open Access | Times Cited: 4
Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
Francesco Preti, Michael Schilling, Sofiène Jerbi, et al.
Quantum (2024) Vol. 8, pp. 1343-1343
Open Access | Times Cited: 4
A numerical approach for calculating exact non-adiabatic terms in quantum dynamics
Ewen D. C. Lawrence, Sebastian F J Schmid, Ieva Čepaitė, et al.
SciPost Physics (2025) Vol. 18, Iss. 1
Open Access
Nonadiabatic quantum optimization for crossing quantum phase transitions
András Grabarits, Federico Balducci, Barry C. Sanders, et al.
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 1
Closed Access
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