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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:

Training saturation in layerwise quantum approximate optimization
Ernesto Campos, D. S. Rabinovich, V. Akshay, et al.
Physical review. A/Physical review, A (2021) Vol. 104, Iss. 3
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Theory of overparametrization in quantum neural networks
Martín Larocca, Nathan Ju, Diego García-Martín, et al.
Nature Computational Science (2023) Vol. 3, Iss. 6, pp. 542-551
Open Access | Times Cited: 102
A review on Quantum Approximate Optimization Algorithm and its variants
Kostas Blekos, Dean Brand, Andrea Ceschini, et al.
Physics Reports (2024) Vol. 1068, pp. 1-66
Open Access | Times Cited: 77
QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines
Z.-F. Zhou, Yuxuan Du, Xinmei Tian, et al.
Physical Review Applied (2023) Vol. 19, Iss. 2
Open Access | Times Cited: 42
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson Wang, Piotr Czarnik, Andrew Arrasmith, et al.
Quantum (2024) Vol. 8, pp. 1287-1287
Open Access | Times Cited: 20
Barren plateaus swamped with traps
Nikita A. Nemkov, Evgeniy O. Kiktenko, Aleksey K. Fedorov
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 1
Closed Access | Times Cited: 2
Generative Quantum Machine Learning via Denoising Diffusion Probabilistic Models
Bingzhi Zhang, Peng Xu, Xiaohong Chen, et al.
Physical Review Letters (2024) Vol. 132, Iss. 10
Open Access | Times Cited: 12
Quantum approximate optimization via learning-based adaptive optimization
Lixue Cheng, Yuqin Chen, Shi‐Xin Zhang, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Trainability enhancement of parameterized quantum circuits via reduced-domain parameter initialization
Yabo Wang, Bo Qi, Christopher Ferrie, et al.
Physical Review Applied (2024) Vol. 22, Iss. 5
Open Access | Times Cited: 8
Hybrid quantum classical graph neural networks for particle track reconstruction
Cenk Tüysüz, Carla Rieger, Kristiane Novotny, et al.
Quantum Machine Intelligence (2021) Vol. 3, Iss. 2
Open Access | Times Cited: 43
A Depth-Progressive Initialization Strategy for Quantum Approximate Optimization Algorithm
Xinwei Lee, Ningyi Xie, Dongsheng Cai, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 2176-2176
Open Access | Times Cited: 13
Efficient variational synthesis of quantum circuits with coherent multi-start optimization
Nikita A. Nemkov, Evgeniy O. Kiktenko, I. A. Luchnikov, et al.
Quantum (2023) Vol. 7, pp. 993-993
Open Access | Times Cited: 13
Comparative Study of Variations in Quantum Approximate Optimization Algorithms for the Traveling Salesman Problem
Wenyang Qian, Robert Basili, Mary Mehrnoosh Eshaghian‐Wilner, et al.
Entropy (2023) Vol. 25, Iss. 8, pp. 1238-1238
Open Access | Times Cited: 13
Robustness of variational quantum algorithms against stochastic parameter perturbation
D. S. Rabinovich, Ernesto Campos, Soumik Adhikary, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 4
Open Access | Times Cited: 5
Multiscale quantum approximate optimization algorithm
Ping Zou
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 1
Open 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
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang, et al.
Nature Reviews Physics (2025)
Closed Access
Analysis of the Vehicle Routing Problem Solved via Hybrid Quantum Algorithms in the Presence of Noisy Channels
Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie
IEEE Transactions on Quantum Engineering (2023) Vol. 4, pp. 1-14
Open Access | Times Cited: 12
Information flow in parameterized quantum circuits
Abhinav Anand, Lasse Bjørn Kristensen, Felix Frohnert, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 3, pp. 035025-035025
Open Access | Times Cited: 4
Lyapunov-control-inspired strategies for quantum combinatorial optimization
Alicia Magann, Kenneth Rudinger, Matthew Grace, et al.
Physical review. A/Physical review, A (2022) Vol. 106, Iss. 6
Open Access | Times Cited: 17
Circuit depth scaling for quantum approximate optimization
V. Akshay, H. Philathong, Ernesto Campos, et al.
Physical review. A/Physical review, A (2022) Vol. 106, Iss. 4
Open Access | Times Cited: 17
Iterative layerwise training for the quantum approximate optimization algorithm
Xinwei Lee, Xinjian Yan, Ningyi Xie, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 5
Open Access | Times Cited: 3
Feedback-based quantum algorithms for ground state preparation
James B. Larsen, Matthew Grace, Andrew Baczewski, et al.
Physical Review Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 3
Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization
Lixue Cheng, Yuqin Chen, Shi‐Xin Zhang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 8
Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead
Bhaskara Narottama, Zina Mohamed, Sonia Aı̈ssa
IEEE Open Journal of the Communications Society (2023) Vol. 4, pp. 2204-2224
Open Access | Times Cited: 8
Randomized adaptive quantum state preparation
Alicia Magann, Sophia E. Economou, Christian Arenz
Physical Review Research (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 7
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