Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 10 citing articles:

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 | Times Cited: 1
Theory for Equivariant Quantum Neural Networks
Kate Nguyen, Louis Schatzki, Paolo Braccia, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 24
Permutation invariant encodings for quantum machine learning with point cloud data
Jamie Heredge, Charles Hill, Lloyd C. L. Hollenberg, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 5
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
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
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang, et al.
Nature Reviews Physics (2025)
Closed Access
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
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
Quantum Inspired Kernel Matrices: Exploring Symmetry in Machine Learning
Sebastian Raubitzek, Sebastian Schrittwieser, Alexander Schatten, et al.
Physics Letters A (2024), pp. 129895-129895
Closed Access
Enforcing exact permutation and rotational symmetries in the application of quantum neural networks on point cloud datasets
Zhelun Li, Lento Nagano, K. Terashi
Physical Review Research (2024) Vol. 6, Iss. 4
Open Access
Page 1

Scroll to top