Open Access Helper

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:

Circuit depth scaling for quantum approximate optimization
V. Akshay, H. Philathong, Ernesto Campos, et al.
Physical review. A/Physical review, A (2022) Vol. 106, Iss. 4
Open Access | Times Cited: 17

Showing 17 citing articles:

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: 33
Molecular docking via quantum approximate optimization algorithm
Qi-Ming Ding, Yiming Huang, Xiao Yuan
Physical Review Applied (2024) Vol. 21, Iss. 3
Open Access | Times Cited: 7
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
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
Performance upper bound of a Grover-mixer quantum alternating operator ansatz
Ningyi Xie, Junde Xu, Tiejin Chen, et al.
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 1
Open Access
Multiscale quantum approximate optimization algorithm
Ping Zou
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 1
Open Access
Cheaper and more noise-resilient quantum state preparation using eigenvector continuation
Anjali A. Agrawal, João C. Getelina, Akhil Francis, et al.
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 3
Open Access
Simulations of frustrated Ising Hamiltonians using quantum approximate optimization
Phillip C. Lotshaw, Hanjing Xu, Bilal Khalid, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 381, Iss. 2241
Open Access | Times Cited: 13
Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation
D. S. Rabinovich, Richik Sengupta, Ernesto Campos, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2601-2601
Open Access | Times Cited: 9
Characterization of variational quantum algorithms using free fermions
Gabriel Matos, Chris N. Self, Zlatko Papić, et al.
Quantum (2023) Vol. 7, pp. 966-966
Open Access | Times Cited: 5
Ion-native variational ansatz for quantum approximate optimization
D. S. Rabinovich, Soumik Adhikary, Ernesto Campos, et al.
Physical review. A/Physical review, A (2022) Vol. 106, Iss. 3
Open Access | Times Cited: 8
Mitigating quantum gate errors for variational eigensolvers using hardware-inspired zero-noise extrapolation
Alexey Uvarov, D. S. Rabinovich, Olga Lakhmanskaya, et al.
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 1
Open Access | Times Cited: 1
Compressed sensing enhanced by a quantum approximate optimization algorithm
Baptiste Chevalier, Wojciech Roga, Masahiro Takeoka
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 6
Open Access
On the gate-error robustness of variational quantum algorithms
D. S. Rabinovich, Ernesto Campos, Soumik Adhikary, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
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
Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise Extrapolation
Alexey Uvarov, D. S. Rabinovich, Olga Lakhmanskaya, et al.
arXiv (Cornell University) (2023)
Open Access
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