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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:

Digitized-counterdiabatic quantum approximate optimization algorithm
Pranav Chandarana, Narendra N. Hegade, Koushik Paul, et al.
Physical Review Research (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 73

Showing 26-50 of 73 citing articles:

Enhancement of adiabaticity via combined control in open quantum systems
Yang-Yang Xie, Zhao-Ming Wang
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang, et al.
Nature Reviews Physics (2025)
Closed Access
Shortcuts to the quantum approximate optimization algorithm
Yahui Chai, Yong-Jian Han, Yu-Chun Wu, et al.
Physical review. A/Physical review, A (2022) Vol. 105, Iss. 4
Open Access | Times Cited: 16
Convergence of digitized-counterdiabatic QAOA: circuit depth versus free parameters
Mara Vizzuso, Gianluca Passarelli, Giovanni Cantele, et al.
New Journal of Physics (2023) Vol. 26, Iss. 1, pp. 013002-013002
Open Access | Times Cited: 9
Variational Adiabatic Transport of Tensor Networks
Hyeongjin Kim, Matthew Fishman, Dries Sels
PRX Quantum (2024) Vol. 5, Iss. 2
Open Access | Times Cited: 3
Improving the performance of digitized counterdiabatic quantum optimization via algorithm-oriented qubit mapping
Yanjun Ji, Kathrin F. Koenig, Ilia Polian
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 3
Closed Access | Times Cited: 3
Variational counterdiabatic driving of the Hubbard model for ground-state preparation
Qing Xie, Kazuhiro Seki, Seiji Yunoki
Physical review. B./Physical review. B (2022) Vol. 106, Iss. 15
Open Access | Times Cited: 14
Quantum approximate optimization algorithm applied to the binary perceptron
Pietro Torta, Glen Bigan Mbeng, Carlo Baldassi, et al.
Physical review. B./Physical review. B (2023) Vol. 107, Iss. 9
Open Access | Times Cited: 8
Optimizing quantum algorithms on bipotent architectures
Yanjun Ji, Kathrin F. Koenig, Ilia Polian
Physical review. A/Physical review, A (2023) Vol. 108, Iss. 2
Open Access | Times Cited: 7
Scaling of errors in digitized counterdiabatic driving
Takuya Hatomura
New Journal of Physics (2023) Vol. 25, Iss. 10, pp. 103025-103025
Open Access | Times Cited: 7
Benchmarking hybrid digitized-counterdiabatic quantum optimization
Ruoqian Xu, Jialiang Tang, Pranav Chandarana, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 2
Beyond Quantum Annealing: Optimal control solutions to MaxCut problems
Giovanni Pecci, Ruiyi Wang, Pietro Torta, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 4, pp. 045013-045013
Open Access | Times Cited: 2
Optimizing counterdiabaticity by variational quantum circuits
Dan Sun, Pranav Chandarana, Zi‐Hua Xin, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2239
Open Access | Times Cited: 12
Analog quantum approximate optimization algorithm
N. Barraza, G. Alvarado Barrios, Jie Peng, et al.
Quantum Science and Technology (2022) Vol. 7, Iss. 4, pp. 045035-045035
Open Access | Times Cited: 9
Counterdiabatic formalism of shortcuts to adiabaticity
Mikio Nakahara
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2239
Open Access | Times Cited: 8
Physics-informed neural networks for an optimal counterdiabatic quantum computation
Antonio Ferrer-Sánchez, Carlos Flores-Garrigos, Carlos Hernani‐Morales, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025035-025035
Open Access | Times Cited: 1
Photonic counterdiabatic quantum optimization algorithm
Pranav Chandarana, Koushik Paul, Mikel Garcia de Andoin, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Feedback-based quantum algorithm inspired by counterdiabatic driving
Rajesh K. Malla, Hiroki Sukeno, Hongye Yu, et al.
Physical Review Research (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 1
Benchmarking Digital Quantum Simulations Above Hundreds of Qubits Using Quantum Critical Dynamics
Alexander Miessen, Daniel J. Egger, Ivano Tavernelli, et al.
PRX Quantum (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 1
Efficient digitized counterdiabatic quantum optimization algorithm within the impulse regime for portfolio optimization
Alejandro Gomez Cadavid, Iraitz Montalban, Archismita Dalal, et al.
Physical Review Applied (2024) Vol. 22, Iss. 5
Closed Access | Times Cited: 1
Success of digital adiabatic simulation with large Trotter step
Changhao Yi
Physical review. A/Physical review, A (2021) Vol. 104, Iss. 5
Open Access | Times Cited: 11
Improving the performance of quantum approximate optimization for preparing non-trivial quantum states without translational symmetry
Zheng‐Hang Sun, Yongyi Wang, Jian Cui, et al.
New Journal of Physics (2023) Vol. 25, Iss. 1, pp. 013015-013015
Open Access | Times Cited: 4
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
Comparative study of variations in quantum approximate optimization algorithms for the Traveling Salesman Problem
Wenyang Qian, Robert Basili, Mary Mehrnoosh Eshaghian‐Wilner, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Counterdiabatic driving for long-lived singlet state preparation
Abhinav Suresh, Vishal Varma, Priya Batra, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 2
Open Access | Times Cited: 3

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