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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:

Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs, Zoë Holmes, C. Matthias, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Quantum Computing for High-Energy Physics: State of the Art and Challenges
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, et al.
PRX Quantum (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 44
Variational Quantum Simulation: A Case Study for Understanding Warm Starts
Ricard Puig, Marc Drudis, Supanut Thanasilp, et al.
PRX Quantum (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 2
Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
Yaswitha Gujju, Atsushi Matsuo, Rudy Raymond
Physical Review Applied (2024) Vol. 21, Iss. 6
Open Access | Times Cited: 13
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Transition role of entangled data in quantum machine learning
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Large-scale simulations of Floquet physics on near-term quantum computers
Timo Eckstein, Refik Mansuroglu, Piotr Czarnik, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Complexity of Quantum Circuits via Sensitivity, Magic, and Coherence
Kaifeng Bu, Roy J. Garcia, Arthur Jaffe, et al.
Communications in Mathematical Physics (2024) Vol. 405, Iss. 7
Closed Access | Times Cited: 5
Quantum neural compressive sensing for ghost imaging
Xinliang Zhai, Tailong Xiao, Jingzheng Huang, et al.
Physical Review Applied (2025) Vol. 23, Iss. 1
Closed Access
Predicting properties of quantum systems by regression on a quantum computer
Andrey Kardashin, Yerassyl Balkybek, Vladimir V. Palyulin, et al.
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma
Domenico Pomarico, A. Monaco, Nicola Amoroso, et al.
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access
Exploring the experimental limit of deep quantum signal processing using a trapped-ion simulator
J.-T. Bu, Lei Zhang, Zhan Yu, et al.
Physical Review Applied (2025) Vol. 23, Iss. 3
Closed Access
Efficient learning for linear properties of bounded-gate quantum circuits
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Learning Shallow Quantum Circuits
Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, et al.
(2024), pp. 1343-1351
Open Access | Times Cited: 3
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
Tobias Haug, M. S. Kim
Physical Review Letters (2024) Vol. 133, Iss. 5
Open Access | Times Cited: 3
High-fidelity dimer excitations using quantum hardware
Norhan M. Eassa, Joe Gibbs, Zoë Holmes, et al.
Physical review. B./Physical review. B (2024) Vol. 110, Iss. 18
Open Access | Times Cited: 2
Generalization error bound for quantum machine learning in NISQ era—a survey
Bikram Khanal, Pablo Rivas, Arun Sanjel, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Closed Access
Transition role of entangled data in quantum machine learning
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, et al.
arXiv (Cornell University) (2023)
Open Access
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