
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:
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
Diego García-Martín, Martín Larocca, M. Cerezo
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 12
Showing 12 citing articles:
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: 29
Michael Ragone, Bojko Bakalov, Frédéric Sauvage, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 29
Towards large-scale quantum optimization solvers with few qubits
Marco Sciorilli, Lucas R. Borges, Taylor L. Patti, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Marco Sciorilli, Lucas R. Borges, Taylor L. Patti, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 3
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
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
Sujay Kazi, Martín Larocca, M. Cerezo
New Journal of Physics (2024) Vol. 26, Iss. 5, pp. 053030-053030
Open Access | Times Cited: 10
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
Tobias Haug, M. S. Kim
Physical Review Letters (2024) Vol. 133, Iss. 5
Open Access | Times Cited: 3
Characterization of overparametrization in the simulation of realistic quantum systems
Matthew Duschenes, Juan Carrasquilla, Raymond Laflamme
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 6
Closed Access | Times Cited: 1
Matthew Duschenes, Juan Carrasquilla, Raymond Laflamme
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 6
Closed Access | Times Cited: 1
Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks
Muhammad Kashif, Emman Sychiuco, Muhammad Shafique
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-10
Closed Access | Times Cited: 1
Muhammad Kashif, Emman Sychiuco, Muhammad Shafique
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-10
Closed Access | Times Cited: 1
Random Natural Gradient
Ioannis Kolotouros, Petros Wallden
Quantum (2024) Vol. 8, pp. 1503-1503
Open Access | Times Cited: 1
Ioannis Kolotouros, Petros Wallden
Quantum (2024) Vol. 8, pp. 1503-1503
Open Access | Times Cited: 1
On the universality of $S_n$-equivariant $k$-body gates
Sujay Kazi, Martín Larocca, M. Cerezo
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Sujay Kazi, Martín Larocca, M. Cerezo
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Characterization of Overparameterization in Simulation of Realistic Quantum Systems
Matthew Duschenes, Juan Carrasquilla, Raymond Laflamme
arXiv (Cornell University) (2024)
Open Access
Matthew Duschenes, Juan Carrasquilla, Raymond Laflamme
arXiv (Cornell University) (2024)
Open Access
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern
Jonas Stein, Tobias Rohe, Francesco Nappi, et al.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2024), pp. 1127-1134
Open Access
Jonas Stein, Tobias Rohe, Francesco Nappi, et al.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2024), pp. 1127-1134
Open Access
Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
Jonas Stein, Tobias Rohe, Francesco Nappi, et al.
arXiv (Cornell University) (2023)
Open Access
Jonas Stein, Tobias Rohe, Francesco Nappi, et al.
arXiv (Cornell University) (2023)
Open Access