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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:

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

Showing 1-25 of 28 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
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
Biology and medicine in the landscape of quantum advantages
Benjamin A. Cordier, Nicolas P. D. Sawaya, Gian Giacomo Guerreschi, et al.
Journal of The Royal Society Interface (2022) Vol. 19, Iss. 196
Open Access | Times Cited: 47
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
Solving various NP-hard problems using exponentially fewer qubits on a quantum computer
Yagnik Chatterjee, Eric Bourreau, Marko J. Rančić
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 5
Open Access | Times Cited: 11
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
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
Numerical Evidence for Exponential Speed-Up of QAOA over Unstructured Search for Approximate Constrained Optimization
John Golden, Andreas Bärtschi, Daniel O’Malley, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 496-505
Closed Access | Times Cited: 13
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
Analytical results for the quantum alternating operator ansatz with Grover mixer
Guilherme Adamatti Bridi, Franklin de Lima Marquezino
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 5
Open Access | Times Cited: 2
Automatic depth optimization for a quantum approximate optimization algorithm
Yu Pan, Yifan Tong, Yi Yang
Physical review. A/Physical review, A (2022) Vol. 105, Iss. 3
Open Access | Times Cited: 11
New coding scheme to compile circuits for Quantum Approximate Optimization Algorithm by genetic evolution
Lis Arufe, Riccardo Rasconi, Angelo Oddi, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110456-110456
Open Access | Times Cited: 6
Quantum Combinatorial Optimization in the NISQ Era: A Systematic Mapping Study
Felix Gemeinhardt, Antonio Garmendía, Manuel Wimmer, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-36
Open Access | Times Cited: 6
Numerical Evidence for Exponential Speed-up of QAOA over Unstructured Search for Approximate Constrained Optimization
John Golden, Andreas Bärtschi, Stephan Eidenbenz, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Recompiling QAOA Circuits on Various Rotational Directions
Enhyeok Jang, Dongho Ha, Seungwoo Choi, et al.
(2024) Vol. 11, pp. 309-324
Closed Access | Times Cited: 1
A Review on Quantum Approximate Optimization Algorithm and its Variants
Kostas Blekos, Dean Brand, Andrea Ceschini, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Quantum bionic advantage on near-term cloud ecosystem
Samih Fadli, Bharat S. Rawal
Optik (2022) Vol. 272, pp. 170295-170295
Closed Access | Times Cited: 4
Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm
Danylo Lykov, Jonathan Wurtz, C. Poole, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
Artificial Intelligence Warm-Start Approach: Optimizing the Generalization Capability of QAOA in Complex Energy Landscapes
Run-Sheng Zhao, Tao Cheng, Rui Wang, et al.
New Journal of Physics (2024) Vol. 26, Iss. 5, pp. 053016-053016
Open Access
Optimizing Product Influence of Shelf Display
Wee Chaimanowong, Francisco Cisternas, David E. Bernal Neira
(2024)
Closed Access
Optimized QAOA ansatz circuit design for two-body Hamiltonian problems
Ritajit Majumdar, Dhiraj Madan, Debasmita Bhoumik, et al.
(2024), pp. 396-401
Closed Access
Evaluating the practicality of quantum optimization algorithms for prototypical industrial applications
Matteo Vandelli, Alessandra Lignarolo, Carlo Cavazzoni, et al.
Quantum Information Processing (2024) Vol. 23, Iss. 10
Closed Access
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem
Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Quantum approximate optimization algorithm in non-Markovian quantum systems
Bo Yue, Shibei Xue, Yu Pan, et al.
Physica Scripta (2023) Vol. 98, Iss. 10, pp. 105104-105104
Open Access | Times Cited: 1
Efficient depth selection for the implementation of noisy quantum approximate optimization algorithm
Yu Pan, Yifan Tong, Shibei Xue, et al.
Journal of the Franklin Institute (2022) Vol. 359, Iss. 18, pp. 11273-11287
Open Access | Times Cited: 2
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