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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 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

Showing 1-25 of 47 citing articles:

Equivariant quantum circuits for learning on weighted graphs
Andrea Skolik, Michele Cattelan, Sheir Yarkoni, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 52
Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem
Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, et al.
Science Advances (2024) Vol. 10, Iss. 22
Open Access | Times Cited: 31
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
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
Constrained optimization via quantum Zeno dynamics
Dylan Herman, Ruslan Shaydulin, Yue Sun, et al.
Communications Physics (2023) Vol. 6, Iss. 1
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
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
A Perspective on Protein Structure Prediction Using Quantum Computers
Hakan Doğa, Bryan Raubenolt, Fabio Cumbo, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 9, pp. 3359-3378
Open Access | Times Cited: 9
Reinforcement learning assisted recursive QAOA
Yash J. Patel, Sofiène Jerbi, Thomas Bäck, et al.
EPJ Quantum Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Symmetry-informed transferability of optimal parameters in the quantum approximate optimization algorithm
Isak Brundin, Laura García-Álvarez
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 2
Open Access | Times Cited: 1
High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices
Elijah Pelofske, Andreas Bärtschi, John Golden, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 506-517
Open Access | Times Cited: 14
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
Approximate Boltzmann distributions in quantum approximate optimization
Phillip C. Lotshaw, George Siopsis, James Ostrowski, et al.
Physical review. A/Physical review, A (2023) Vol. 108, Iss. 4
Open Access | Times Cited: 13
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: 13
Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
Friedrich Wagner, Jonas Nüßlein, Frauke Liers
ACM Transactions on Quantum Computing (2025)
Open Access
Decarbonization of Building Operations with Adaptive Quantum Computing-Based Model Predictive Control
Akshay Ajagekar, Fengqi You
Engineering (2025)
Open Access
Graph decomposition techniques for solving combinatorial optimization problems with variational quantum algorithms
Moises Ponce, Rebekah Herrman, Phillip C. Lotshaw, et al.
Quantum Information Processing (2025) Vol. 24, Iss. 2
Closed Access
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang, et al.
Nature Reviews Physics (2025)
Closed Access
Approaches to Constrained Quantum Approximate Optimization
Zain H. Saleem, Teague Tomesh, Bilal Tariq, et al.
SN Computer Science (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 12
Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths
Reuben Tate, Jai Moondra, Bryan T. Gard, et al.
Quantum (2023) Vol. 7, pp. 1121-1121
Open Access | Times Cited: 12
Low-depth Clifford circuits approximately solve MaxCut
Manuel H. Muñoz-Arias, Stefanos Kourtis, Alexandre Blais
Physical Review Research (2024) Vol. 6, Iss. 2
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
Distributionally Robust Variational Quantum Algorithms With Shifted Noise
Zichang He, Bo Peng, Yuri Alexeev, et al.
IEEE Transactions on Quantum Engineering (2024) Vol. 5, pp. 1-12
Open Access | Times Cited: 2
Trainability Barriers in Low-Depth QAOA Landscapes
Joel Rajakumar, John Golden, Andreas Bärtschi, et al.
(2024)
Open Access | Times Cited: 2
Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions
K. Okada, Hirofumi Nishi, Taichi Kosugi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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