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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:

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

Showing 1-25 of 37 citing articles:

Theory for Equivariant Quantum Neural Networks
Kate Nguyen, Louis Schatzki, Paolo Braccia, et al.
PRX Quantum (2024) Vol. 5, Iss. 2
Open Access | Times Cited: 33
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: 27
On the practical usefulness of the Hardware Efficient Ansatz
Lorenzo Leone, Salvatore F. E. Oliviero, Łukasz Cincio, et al.
Quantum (2024) Vol. 8, pp. 1395-1395
Open Access | Times Cited: 19
Understanding quantum machine learning also requires rethinking generalization
Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17
Quantum tug of war between randomness and symmetries on homogeneous spaces
Rahul Arvind, Kishor Bharti, Jun Yong Khoo, et al.
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Effects of noise on the overparametrization of quantum neural networks
Diego García-Martín, Martín Larocca, M. Cerezo
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 12
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: 12
On the universality of Sn -equivariant k-body gates
Sujay Kazi, Martín Larocca, M. Cerezo
New Journal of Physics (2024) Vol. 26, Iss. 5, pp. 053030-053030
Open Access | Times Cited: 10
Provably Trainable Rotationally Equivariant Quantum Machine Learning
Maxwell T. West, Jamie Heredge, M. E. Sevior, et al.
PRX Quantum (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 10
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
Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
Alistair Letcher, Stefan Woerner, Christa Zoufal
Quantum (2024) Vol. 8, pp. 1484-1484
Open Access | Times Cited: 7
Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning
Maxwell T. West, Azar C. Nakhl, Jamie Heredge, et al.
Intelligent Computing (2024) Vol. 3
Open Access | Times Cited: 5
Theory for Equivariant Quantum Neural Networks
Kate Nguyen, Louis Schatzki, Paolo Braccia, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 24
VQC-based reinforcement learning with data re-uploading: performance and trainability
Rodrigo Coelho, André Sequeira, Luís Paulo Santos
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Closed Access | Times Cited: 4
Graph algorithms with neutral atom quantum processors
Constantin Dalyac, Lucas Leclerc, Louis Vignoli, et al.
The European Physical Journal A (2024) Vol. 60, Iss. 9
Closed Access | Times Cited: 4
How can quantum computing be applied in clinical trial design and optimization?
Hakan Doğa, Aritra Bose, Mehmet Şahin, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 10, pp. 880-891
Open Access | Times Cited: 4
Image classification with rotation-invariant variational quantum circuits
Paul San Sebastian Sein, Mikel Cañizo, Román Orús
Physical Review Research (2025) Vol. 7, Iss. 1
Closed Access
Exploiting symmetry in variational quantum channel coding
Jun Wu, Wei Xie, Hao Fu, et al.
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 1
Closed Access
Exploiting symmetries in nuclear Hamiltonians for ground state preparation
Joe Gibbs, Zoë Holmes, P. D. Stevenson
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Open Access
Symmetry-invariant quantum machine learning force fields
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, et al.
New Journal of Physics (2025) Vol. 27, Iss. 2, pp. 023015-023015
Open Access
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang, et al.
Nature Reviews Physics (2025)
Closed Access
Splitting and parallelizing of quantum convolutional neural networks for learning translationally symmetric data
Koki Chinzei, Quoc Hoan Tran, Kazunori Maruyama, et al.
Physical Review Research (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 3
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
Tobias Haug, M. S. Kim
Physical Review Letters (2024) Vol. 133, Iss. 5
Open Access | Times Cited: 3
The role of data embedding in equivariant quantum convolutional neural networks
Sreetama Das, Stefano Martina, Filippo Caruso
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 3
Variational-quantum-eigensolver–inspired optimization for spin-chain work extraction
Ivan Medina, Alexandre Drinko, Guilherme I. Correr, et al.
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 1
Closed Access | Times Cited: 2
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