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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:

Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus
Chen Zhao, Xiao-Shan Gao
Quantum (2021) Vol. 5, pp. 466-466
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Trainability of Dissipative Perceptron-Based Quantum Neural Networks
Kunal Sharma, M. Cerezo, Łukasz Cincio, et al.
Physical Review Letters (2022) Vol. 128, Iss. 18
Open Access | Times Cited: 153
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
Martín Larocca, Piotr Czarnik, Kunal Sharma, et al.
Quantum (2022) Vol. 6, pp. 824-824
Open Access | Times Cited: 145
Variational Power of Quantum Circuit Tensor Networks
Reza Haghshenas, Johnnie Gray, Andrew C. Potter, et al.
Physical Review X (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 76
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: 57
Quantum machine learning: from physics to software engineering
Alexey Melnikov, Mohammad Kordzanganeh, A. P. Alodjants, et al.
Advances in Physics X (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 49
Analytic Theory for the Dynamics of Wide Quantum Neural Networks
Junyu Liu, Khadijeh Najafi, Kunal Sharma, et al.
Physical Review Letters (2023) Vol. 130, Iss. 15
Open Access | Times Cited: 44
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: 32
Exponential concentration in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Recent advances for quantum classifiers
Weikang Li, Dong-Ling Deng
Science China Physics Mechanics and Astronomy (2021) Vol. 65, Iss. 2
Open Access | Times Cited: 80
Learnability of Quantum Neural Networks
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, et al.
PRX Quantum (2021) Vol. 2, Iss. 4
Open Access | Times Cited: 64
Learning quantum data with the quantum earth mover’s distance
Bobak T. Kiani, Giacomo De Palma, Milad Marvian, et al.
Quantum Science and Technology (2022) Vol. 7, Iss. 4, pp. 045002-045002
Open Access | Times Cited: 47
Exponential concentration and untrainability in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 46
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 42
Experimental Evaluation of Quantum Machine Learning Algorithms
Ricardo Daniel Monteiro Simoes, Patrick Huber, Nicola Meier, et al.
IEEE Access (2023) Vol. 11, pp. 6197-6208
Open Access | Times Cited: 33
Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms
Mohammad Kordzanganeh, Markus Buchberger, Basil Kyriacou, et al.
Advanced Quantum Technologies (2023) Vol. 6, Iss. 8
Open Access | Times Cited: 33
Mitigating barren plateaus with transfer-learning-inspired parameter initializations
Huanyu Liu, Tai-Ping Sun, Yu-Chun Wu, et al.
New Journal of Physics (2023) Vol. 25, Iss. 1, pp. 013039-013039
Open Access | Times Cited: 25
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 13
Absence of Barren Plateaus in Finite Local-Depth Circuits with Long-Range Entanglement
Hao-Kai Zhang, Shuo Liu, Shi‐Xin Zhang
Physical Review Letters (2024) Vol. 132, Iss. 15
Open Access | Times Cited: 11
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
Investigating and mitigating barren plateaus in variational quantum circuits: a survey
Jack R. Cunningham, Jun Zhuang
Quantum Information Processing (2025) Vol. 24, Iss. 2
Open Access | Times Cited: 1
Variational Inference with a Quantum Computer
Marcello Benedetti, Brian Coyle, Mattia Fiorentini, et al.
Physical Review Applied (2021) Vol. 16, Iss. 4
Open Access | Times Cited: 44
Hybrid quantum classical graph neural networks for particle track reconstruction
Cenk Tüysüz, Carla Rieger, Kristiane Novotny, et al.
Quantum Machine Intelligence (2021) Vol. 3, Iss. 2
Open Access | Times Cited: 44
QDNN: deep neural networks with quantum layers
Chen Zhao, Xiao-Shan Gao
Quantum Machine Intelligence (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 42
Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning
Zidu Liu, Li-Wei Yu, Luming Duan, et al.
Physical Review Letters (2022) Vol. 129, Iss. 27
Open Access | Times Cited: 38
Trainability enhancement of parameterized quantum circuits via reduced-domain parameter initialization
Yabo Wang, Bo Qi, Christopher Ferrie, et al.
Physical Review Applied (2024) Vol. 22, Iss. 5
Open Access | Times Cited: 8
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