
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:
Quantum annealing initialization of the quantum approximate optimization algorithm
Stefan Sack, Maksym Serbyn
Quantum (2021) Vol. 5, pp. 491-491
Open Access | Times Cited: 100
Stefan Sack, Maksym Serbyn
Quantum (2021) Vol. 5, pp. 491-491
Open Access | Times Cited: 100
Showing 1-25 of 100 citing articles:
Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 195
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 195
Avoiding Barren Plateaus Using Classical Shadows
Stefan Sack, Raimel Medina, Alexios A. Michailidis, et al.
PRX Quantum (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 91
Stefan Sack, Raimel Medina, Alexios A. Michailidis, et al.
PRX Quantum (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 91
Counterdiabaticity and the quantum approximate optimization algorithm
Jonathan Wurtz, Peter J. Love
Quantum (2022) Vol. 6, pp. 635-635
Open Access | Times Cited: 85
Jonathan Wurtz, Peter J. Love
Quantum (2022) Vol. 6, pp. 635-635
Open Access | Times Cited: 85
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
Kostas Blekos, Dean Brand, Andrea Ceschini, et al.
Physics Reports (2024) Vol. 1068, pp. 1-66
Open Access | Times Cited: 77
Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm
Utkarsh Azad, Bikash K. Behera, Emad A. Ahmed, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 7, pp. 7564-7573
Open Access | Times Cited: 73
Utkarsh Azad, Bikash K. Behera, Emad A. Ahmed, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 7, pp. 7564-7573
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
Johannes Weidenfeller, Lucia C. Valor, Julien Gacon, et al.
Quantum (2022) Vol. 6, pp. 870-870
Open Access | Times Cited: 68
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
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
Stefan Sack, Daniel J. Egger
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 21
Parameter concentrations in quantum approximate optimization
V. Akshay, D. S. Rabinovich, Ernesto Campos, et al.
Physical review. A/Physical review, A (2021) Vol. 104, Iss. 1
Open Access | Times Cited: 87
V. Akshay, D. S. Rabinovich, Ernesto Campos, et al.
Physical review. A/Physical review, A (2021) Vol. 104, Iss. 1
Open Access | Times Cited: 87
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
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
Quantum Optimization: Potential, Challenges, and the Path Forward
Amira Abbas, Andris Ambainis, Brandon Augustino, et al.
(2023)
Open Access | Times Cited: 29
Amira Abbas, Andris Ambainis, Brandon Augustino, et al.
(2023)
Open Access | Times Cited: 29
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
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
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
Shree Hari Sureshbabu, Dylan Herman, Ruslan Shaydulin, et al.
Quantum (2024) Vol. 8, pp. 1231-1231
Open Access | Times Cited: 13
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
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
Challenges of variational quantum optimization with measurement shot noise
Giuseppe Scriva, Nikita Astrakhantsev, Sebastiano Pilati, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 3
Closed Access | Times Cited: 10
Giuseppe Scriva, Nikita Astrakhantsev, Sebastiano Pilati, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 3
Closed Access | Times Cited: 10
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
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
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
Laith Abualigah, Saif AlNajdawi, Abiodun M. Ikotun, et al.
Elsevier eBooks (2024), pp. 147-165
Closed Access | Times Cited: 8
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
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: 33
Nishant Jain, Brian Coyle, Elham Kashefi, et al.
Quantum (2022) Vol. 6, pp. 861-861
Open Access | Times Cited: 33
Peptide conformational sampling using the Quantum Approximate Optimization Algorithm
Sami Boulebnane, Xavier Lucas, Agnes Meyder, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 17
Sami Boulebnane, Xavier Lucas, Agnes Meyder, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 17
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
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
Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
Dennis Willsch, Madita Willsch, Fengping Jin, et al.
Computer Physics Communications (2022) Vol. 278, pp. 108411-108411
Open Access | Times Cited: 22
Dennis Willsch, Madita Willsch, Fengping Jin, et al.
Computer Physics Communications (2022) Vol. 278, pp. 108411-108411
Open Access | Times Cited: 22
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
Xinwei Lee, Ningyi Xie, Dongsheng Cai, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 2176-2176
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
Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 13