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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:

Optimal control of quantum thermal machines using machine learning
Ilia Khait, Juan Carrasquilla, Dvira Segal
Physical Review Research (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
Christiane P. Koch, Ugo Boscain, Tommaso Calarco, et al.
EPJ Quantum Technology (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 272
Quantum engines and refrigerators
L. M. Cangemi, Chitrak Bhadra, Amikam Levy
Physics Reports (2024) Vol. 1087, pp. 1-71
Open Access | Times Cited: 17
Counterdiabatic Optimized Local Driving
Ieva Čepaitė, Anatoli Polkovnikov, Andrew J. Daley, et al.
PRX Quantum (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 40
Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning
Paolo Andrea Erdman, Alberto Rolandi, Paolo Abiuso, et al.
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 27
Optimal Thermometers with Spin Networks
Paolo Abiuso, Paolo Andrea Erdman, Michael Ronen, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 3, pp. 035008-035008
Open Access | Times Cited: 8
Dissipation-induced collective advantage of a quantum thermal machine
Matteo Carrega, Luca Razzoli, Paolo Andrea Erdman, et al.
AVS Quantum Science (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 7
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: 6
Quadratic enhancement in the reliability of collective quantum engines
Noufal Jaseem, Sai Vinjanampathy, Victor Mukherjee
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 4
Open Access | Times Cited: 15
Experimental graybox quantum system identification and control
Akram Youssry, Yang Yang, Robert J. Chapman, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Entanglement Generation of Polar Molecules via Deep Reinforcement Learning
Zuo-Yuan Zhang, Zhaoxi Sun, Tao Duan, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 5, pp. 1811-1820
Closed Access | Times Cited: 5
Dynamical heat engines with non-Markovian reservoirs
Fabio Cavaliere, Matteo Carrega, G. De Filippis, et al.
Physical Review Research (2022) Vol. 4, Iss. 3
Open Access | Times Cited: 21
Floquet engineering of quantum thermal machines: A gradient-based spectral method to optimize their performance
Alberto Castro
Physics Letters A (2025) Vol. 536, pp. 130309-130309
Closed Access
Machine learning delta-T noise for temperature bias estimation
Matthew Gerry, Jonathan J. Wang, Joanna Li, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 8
Open Access
Detecting Markovianity of quantum processes via recurrent neural networks
Angela Rosy Morgillo, Massimiliano F. Sacchi, Chiara Macchiavello
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Open Access
Non-Markovianity and a generalized Landauer bound for a minimal quantum autonomous thermal machine with a work qubit
A. Khoudiri, A. El Allati, Özgür E. Müstecaplıoğlu, et al.
Physical review. E (2025) Vol. 111, Iss. 4
Open Access
Exploring the optimal cycle for a quantum heat engine using reinforcement learning
Gao-xiang Deng, Haoqiang Ai, Binghe Wang, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 2
Open Access | Times Cited: 3
Bath Engineering Enhanced Quantum Critical Engines
B S Revathy, Victor Mukherjee, Uma Divakaran
Entropy (2022) Vol. 24, Iss. 10, pp. 1458-1458
Open Access | Times Cited: 10
Optimal finite-time heat engines under constrained control
Zhuolin Ye, Federico Cerisola, Paolo Abiuso, et al.
Physical Review Research (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 9
Optimal control in disordered quantum systems
Luuk Coopmans, Steve Campbell, Gabriele De Chiara, et al.
Physical Review Research (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 9
Optimization of asymmetric quantum Otto engine cycles
Rahul Shastri, B. Prasanna Venkatesh
Physical review. E (2022) Vol. 106, Iss. 2
Closed Access | Times Cited: 7
Bayesian learning for optimal control of quantum many-body states in optical lattices
Yan-Jun Xie, Han-Ning Dai, Zhen-Sheng Yuan, et al.
Physical review. A/Physical review, A (2022) Vol. 106, Iss. 1
Closed Access | Times Cited: 6
Quantum Engines and Refrigerators
L. M. Cangemi, Chitrak Bhadra, Amikam Levy
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Optimizing continuous dynamical decoupling with machine learning
Miao Cai, Keyu Xia
Physical review. A/Physical review, A (2022) Vol. 106, Iss. 4
Closed Access | Times Cited: 5
Preparing quantum states by measurement-feedback control with Bayesian optimization
Yadong Wu, Juan Yao, Pengfei Zhang
Frontiers of Physics (2023) Vol. 18, Iss. 6
Open Access | Times Cited: 2
Finite-volume pionless effective field theory for few-nucleon systems with differentiable programming
Xiangkai Sun, William Detmold, Di Luo, et al.
Physical review. D/Physical review. D. (2022) Vol. 105, Iss. 7
Open Access | Times Cited: 4
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