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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:

Counterdiabaticity and the quantum approximate optimization algorithm
Jonathan Wurtz, Peter J. Love
Quantum (2022) Vol. 6, pp. 635-635
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

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
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
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
Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut
Ruslan Shaydulin, Phillip C. Lotshaw, Jeffrey Larson, et al.
ACM Transactions on Quantum Computing (2023) Vol. 4, Iss. 3, pp. 1-15
Open Access | Times Cited: 47
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
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
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: 34
Shortcuts to Adiabaticity in Krylov Space
Kazutaka Takahashi, Adolfo del Campo
Physical Review X (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
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
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
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
Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 22
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
Squeezing and quantum approximate optimization
Gopal Chandra Santra, Fred Jendrzejewski, Philipp Hauke, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 1
Open Access | Times Cited: 8
Extending relax-and-round combinatorial optimization solvers with quantum correlations
Maxime Dupont, Bhuvanesh Sundar
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 1
Closed Access | Times Cited: 8
Quantum approximate optimization algorithm: a review study and problems
Laith Abualigah, Saif AlNajdawi, Abiodun M. Ikotun, et al.
Elsevier eBooks (2024), pp. 147-165
Closed Access | Times Cited: 8
Optimized SWAP networks with equivalent circuit averaging for QAOA
Akel Hashim, Rich Rines, Victory Omole, et al.
Physical Review Research (2022) Vol. 4, Iss. 3
Open Access | Times Cited: 34
Sampling frequency thresholds for the quantum advantage of the quantum approximate optimization algorithm
Danylo Lykov, Jonathan Wurtz, C. Poole, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 19
Self-Healing of Trotter Error in Digital Adiabatic State Preparation
Lucas Kocia, F. A. Calderon-Vargas, Matthew Grace, et al.
Physical Review Letters (2023) Vol. 131, Iss. 6
Open Access | Times Cited: 17
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
Classically Optimal Variational Quantum Algorithms
Jonathan Wurtz, Peter Love
IEEE Transactions on Quantum Engineering (2021) Vol. 2, pp. 1-7
Open Access | Times Cited: 33
Scaling quantum approximate optimization on near-term hardware
Phillip C. Lotshaw, Thien Nguyen, Anthony Santana, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Digitized counterdiabatic quantum optimization
Narendra N. Hegade, Xi Chen, E. Solano
Physical Review Research (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 27
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