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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:

Warm-starting quantum optimization
Daniel J. Egger, Jakub Mareček, Stefan Woerner
Quantum (2021) Vol. 5, pp. 479-479
Open Access | Times Cited: 190

Showing 26-50 of 190 citing articles:

Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement
Lee Braine, Daniel J. Egger, Jennifer R. Glick, et al.
IEEE Transactions on Quantum Engineering (2021) Vol. 2, pp. 1-8
Open Access | Times Cited: 54
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: 50
Efficient Encoding of the Weighted MAX $$k$$-CUT on a Quantum Computer Using QAOA
Franz Fuchs, Herman Øie Kolden, Niels Henrik Aase, et al.
SN Computer Science (2021) Vol. 2, Iss. 2
Open Access | Times Cited: 45
Bridging Classical and Quantum with SDP initialized warm-starts for QAOA
Reuben Tate, Majid Farhadi, Creston D. Herold, et al.
ACM Transactions on Quantum Computing (2022) Vol. 4, Iss. 2, pp. 1-39
Open Access | Times Cited: 35
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: 34
Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
Franz Fuchs, Kjetil Olsen Lye, Halvor Møll Nilsen, et al.
Algorithms (2022) Vol. 15, Iss. 6, pp. 202-202
Open Access | Times Cited: 29
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
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: 20
Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
Christa Zoufal, Ryan V. Mishmash, Nitin Sharma, et al.
Quantum (2023) Vol. 7, pp. 909-909
Open Access | Times Cited: 19
Pulse variational quantum eigensolver on cross-resonance-based hardware
Daniel J. Egger, Chiara Capecci, Bibek Pokharel, et al.
Physical Review Research (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 17
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
Alireza Furutanpey, Johanna Barzen, Marvin Bechtold, et al.
(2023), pp. 88-103
Open Access | Times Cited: 16
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
Studying the phase diagram of the three-flavor Schwinger model in the presence of a chemical potential with measurement- and gate-based quantum computing
S. Schuster, Stefan Kühn, Lena Funcke, et al.
Physical review. D/Physical review. D. (2024) Vol. 109, Iss. 11
Open Access | Times Cited: 6
Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles
Constantin Dalyac, Loïc Henriet, Emmanuel Jeandel, et al.
EPJ Quantum Technology (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 34
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
QUARK: A Framework for Quantum Computing Application Benchmarking
Jernej Rudi Finžgar, Philipp Ross, Leonhard Hölscher, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2022), pp. 226-237
Open Access | Times Cited: 26
Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices
Marvin Bechtold, Johanna Barzen, Frank Leymann, et al.
Quantum Science and Technology (2023) Vol. 8, Iss. 4, pp. 045022-045022
Open Access | Times Cited: 14
Alignment between initial state and mixer improves QAOA performance for constrained optimization
Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 14
NP-hard but no longer hard to solve? Using quantum computing to tackle optimization problems
Rhonda Au-Yeung, Nicholas Chancellor, Pascal Halffmann
Frontiers in Quantum Science and Technology (2023) Vol. 2
Open Access | Times Cited: 13
A Conceptual Architecture for a Quantum-HPC Middleware
Nishant Saurabh, Shantenu Jha, André Luckow
(2023), pp. 116-127
Open Access | Times Cited: 13
The Quantum Alternating Operator Ansatz for Satisfiability Problems
John Golden, Andreas Bärtschi, Daniel O’Malley, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 307-312
Closed Access | Times Cited: 13
Provable bounds for noise-free expectation values computed from noisy samples
Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, et al.
Nature Computational Science (2024) Vol. 4, Iss. 11, pp. 865-875
Open Access | Times Cited: 4
Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation
D. Arai, K. Okada, Yuichiro Nakano, et al.
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access

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