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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:

Parameter concentrations in quantum approximate optimization
V. Akshay, D. S. Rabinovich, Ernesto Campos, et al.
Physical review. A/Physical review, A (2021) Vol. 104, Iss. 1
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Quantum computing for finance
Dylan Herman, Cody Googin, Xiaoyuan Liu, et al.
Nature Reviews Physics (2023) Vol. 5, Iss. 8, pp. 450-465
Closed Access | Times Cited: 105
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
Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm
Utkarsh Azad, Bikash K. Behera, Emad A. Ahmed, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 7, pp. 7564-7573
Open Access | Times Cited: 73
Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware
Johannes Weidenfeller, Lucia C. Valor, Julien Gacon, et al.
Quantum (2022) Vol. 6, pp. 870-870
Open Access | Times Cited: 68
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: 41
Optimization Applications as Quantum Performance Benchmarks
Thomas Lubinski, Carleton Coffrin, Catherine C. McGeoch, et al.
ACM Transactions on Quantum Computing (2024) Vol. 5, Iss. 3, pp. 1-44
Open Access | Times Cited: 23
Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation
Stefan Sack, Daniel J. Egger
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 21
Towards large-scale quantum optimization solvers with few qubits
Marco Sciorilli, Lucas R. Borges, Taylor L. Patti, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Avoiding barren plateaus via transferability of smooth solutions in a Hamiltonian variational ansatz
Antonio Anna Mele, Glen Bigan Mbeng, Giuseppe E. Santoro, et al.
Physical review. A/Physical review, A (2022) Vol. 106, Iss. 6
Open Access | Times Cited: 48
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
Quantum Optimization: Potential, Challenges, and the Path Forward
Amira Abbas, Andris Ambainis, Brandon Augustino, et al.
(2023)
Open Access | Times Cited: 29
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
An expressive ansatz for low-depth quantum approximate optimisation
V Vijendran, Aritra Das, Dax Enshan Koh, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 2, pp. 025010-025010
Open Access | Times Cited: 12
Challenges of variational quantum optimization with measurement shot noise
Giuseppe Scriva, Nikita Astrakhantsev, Sebastiano Pilati, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 3
Closed Access | Times Cited: 10
Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
Filip B. Maciejewski, Stuart Hadfield, Benjamin Hall, et al.
Physical Review Applied (2024) Vol. 22, Iss. 4
Open Access | Times Cited: 8
Transferability of optimal QAOA parameters between random graphs
Alexey Galda, Xiaoyuan Liu, Danylo Lykov, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2021), pp. 171-180
Open Access | Times Cited: 49
Solving correlation clustering with QAOA and a Rydberg qudit system: a full-stack approach
Jordi R. Weggemans, Alexander Urech, Alexander Rausch, et al.
Quantum (2022) Vol. 6, pp. 687-687
Open Access | Times Cited: 36
Graph neural network initialisation of quantum approximate optimisation
Nishant Jain, Brian Coyle, Elham Kashefi, et al.
Quantum (2022) Vol. 6, pp. 861-861
Open Access | Times Cited: 33
Evaluation of QAOA based on the approximation ratio of individual samples
Jason M. Larkin, Matías Jonsson, Daniel Justice, et al.
Quantum Science and Technology (2022) Vol. 7, Iss. 4, pp. 045014-045014
Open Access | Times Cited: 28
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Charles Moussa, Hao Wang, Thomas Bäck, et al.
EPJ Quantum Technology (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 28
Peptide conformational sampling using the Quantum Approximate Optimization Algorithm
Sami Boulebnane, Xavier Lucas, Agnes Meyder, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 17
A practitioner’s guide to quantum algorithms for optimisation problems
Benjamin C. B. Symons, David Galvin, Emre Sahin, et al.
Journal of Physics A Mathematical and Theoretical (2023) Vol. 56, Iss. 45, pp. 453001-453001
Open Access | Times Cited: 16
Short-depth QAOA circuits and quantum annealing on higher-order ising models
Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
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
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