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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:

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

Showing 1-25 of 91 citing articles:

The Variational Quantum Eigensolver: A review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao, et al.
Physics Reports (2022) Vol. 986, pp. 1-128
Open Access | Times Cited: 574
NISQ computing: where are we and where do we go?
Jonathan Wei Zhong Lau, Kian Hwee Lim, Harshank Shrotriya, et al.
AAPPS bulletin (2022) Vol. 32, Iss. 1
Open Access | Times Cited: 87
Classical Shadows With Noise
Dax Enshan Koh, Sabee Grewal
Quantum (2022) Vol. 6, pp. 776-776
Open Access | Times Cited: 83
Barren plateaus in quantum tensor network optimization
Enrique Cervero Martín, Kirill Plekhanov, Michael Lubasch
Quantum (2023) Vol. 7, pp. 974-974
Open Access | Times Cited: 53
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
He-Liang Huang, Xiaoyue Xu, Chu Guo, et al.
Science China Physics Mechanics and Astronomy (2023) Vol. 66, Iss. 5
Closed Access | Times Cited: 51
Theoretical guarantees for permutation-equivariant quantum neural networks
Louis Schatzki, Martín Larocca, Quynh T. Nguyen, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 37
A Lie algebraic theory of barren plateaus for deep parameterized quantum circuits
Michael Ragone, Bojko Bakalov, Frédéric Sauvage, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 26
Shallow Shadows: Expectation Estimation Using Low-Depth Random Clifford Circuits
Christian Bertoni, Jonas Haferkamp, Marcel Hinsche, et al.
Physical Review Letters (2024) Vol. 133, Iss. 2
Open Access | Times Cited: 22
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
Scalable and Flexible Classical Shadow Tomography with Tensor Networks
Ahmed A. Akhtar, Hong-Ye Hu, Yi‐Zhuang You
Quantum (2023) Vol. 7, pp. 1026-1026
Open Access | Times Cited: 37
Isometric tensor network optimization for extensive Hamiltonians is free of barren plateaus
Qiang Miao, Thomas Barthel
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 5
Open Access | Times Cited: 11
Group-theoretic error mitigation enabled by classical shadows and symmetries
Andrew Zhao, Akimasa Miyake
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 11
Symmetry Breaking in Geometric Quantum Machine Learning in the Presence of Noise
Cenk Tüysüz, Su Yeon Chang, Maria Demidik, et al.
PRX Quantum (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 8
Performance analysis of multi-shot shadow estimation
You Zhou, Qing Liu
Quantum (2023) Vol. 7, pp. 1044-1044
Open Access | Times Cited: 17
Engineered dissipation to mitigate barren plateaus
Antonio Sannia, Francesco Tacchino, Ivano Tavernelli, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
A semi-agnostic ansatz with variable structure for quantum machine learning
M. Bilkis, M. Cerezo, Guillaume Verdon, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 36
Entanglement entropy production in Quantum Neural Networks
Marco Ballarin, Stefano Mangini, Simone Montangero, et al.
Quantum (2023) Vol. 7, pp. 1023-1023
Open Access | Times Cited: 15
High Dimensional Quantum Machine Learning With Small Quantum Computers
Simon C. Marshall, Casper Gyurik, Vedran Dunjko
Quantum (2023) Vol. 7, pp. 1078-1078
Open Access | Times Cited: 15
Problem-Dependent Power of Quantum Neural Networks on Multiclass Classification
Yuxuan Du, Yibo Yang, Dacheng Tao, et al.
Physical Review Letters (2023) Vol. 131, Iss. 14
Open Access | Times Cited: 15
Classical splitting of parametrized quantum circuits
Cenk Tüysüz, Giuseppe Clemente, Arianna Crippa, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 14
Training variational quantum algorithms with random gate activation
Shuo Liu, Shi‐Xin Zhang, Shao-Kai Jian, et al.
Physical Review Research (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 14
A semi-agnostic ansatz with variable structure for variational quantum algorithms
M. Bilkis, M. Cerezo, Guillaume Verdon, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 14
Atomic Quantum Technologies for Quantum Matter and Fundamental Physics Applications
Jorge Yago Malo, Luca Lepori, Laura Gentini, et al.
Technologies (2024) Vol. 12, Iss. 5, pp. 64-64
Open Access | Times Cited: 5
Avoiding barren plateaus in the variational determination of geometric entanglement
Leonardo Zambrano, A. D. Muñoz-Moller, Mario Muñoz, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 2, pp. 025016-025016
Open Access | Times Cited: 4
Equivalence of cost concentration and gradient vanishing for quantum circuits: an elementary proof in the Riemannian formulation
Qiang Miao, Thomas Barthel
Quantum Science and Technology (2024) Vol. 9, Iss. 4, pp. 045039-045039
Open Access | Times Cited: 4
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