
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:
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 229-235
Open Access | Times Cited: 10
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 229-235
Open Access | Times Cited: 10
Showing 10 citing articles:
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
Theory for Equivariant Quantum Neural Networks
Kate Nguyen, Louis Schatzki, Paolo Braccia, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 24
Kate Nguyen, Louis Schatzki, Paolo Braccia, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 24
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
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
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, et al.
New Journal of Physics (2025) Vol. 27, Iss. 2, pp. 023015-023015
Open Access
ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
Zhongtian Dong, M Cara, Gopal Ramesh Dahale, et al.
Axioms (2024) Vol. 13, Iss. 3, pp. 188-188
Open Access | Times Cited: 3
Zhongtian Dong, M Cara, Gopal Ramesh Dahale, et al.
Axioms (2024) Vol. 13, Iss. 3, pp. 188-188
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
Sreetama Das, Stefano Martina, Filippo Caruso
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 3
Symmetry-invariant quantum machine learning force fields
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Permutation-equivariant quantum convolutional neural networks
Sreetama Das, Filippo Caruso
Quantum Science and Technology (2024) Vol. 10, Iss. 1, pp. 015030-015030
Open Access | Times Cited: 1
Sreetama Das, Filippo Caruso
Quantum Science and Technology (2024) Vol. 10, Iss. 1, pp. 015030-015030
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
$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
Zhongtian Dong, M Cara, Gopal Ramesh Dahale, et al.
arXiv (Cornell University) (2023)
Open Access
Zhongtian Dong, M Cara, Gopal Ramesh Dahale, et al.
arXiv (Cornell University) (2023)
Open Access