
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.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 16
Louis Schatzki, Martín Larocca, Quynh T. Nguyen, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 16
Showing 16 citing articles:
Reflection equivariant quantum neural networks for enhanced image classification
Maxwell T. West, M. E. Sevior, Muhammad Usman
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035027-035027
Open Access | Times Cited: 21
Maxwell T. West, M. E. Sevior, Muhammad Usman
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035027-035027
Open Access | Times Cited: 21
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
The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze
Enrico Fontana, Dylan Herman, Shouvanik Chakrabarti, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 8
Enrico Fontana, Dylan Herman, Shouvanik Chakrabarti, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 8
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
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
Han Zheng, Christopher Kang, Gokul Subramanian Ravi, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
Han Zheng, Christopher Kang, Gokul Subramanian Ravi, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
Effects of noise on the overparametrization of quantum neural networks
Diego García-Martín, Martín Larocca, M. Cerezo
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Diego García-Martín, Martín Larocca, M. Cerezo
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating
Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 045038-045038
Open Access | Times Cited: 2
Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 045038-045038
Open Access | Times Cited: 2
VQE-inspired optimization for spin chains work extraction
Ivan Medina, Alexandre Drinko, Guilherme Ilário Correr, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Ivan Medina, Alexandre Drinko, Guilherme Ilário Correr, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Efficient classical algorithms for simulating symmetric quantum systems
Eric R. Anschuetz, Andreas Bauer, Bobak T. Kiani, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
Eric R. Anschuetz, Andreas Bauer, Bobak T. Kiani, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
Reflection Equivariant Quantum Neural Networks for Enhanced Image Classification
Maxwell T. West, M. E. Sevior, Muhammad Usman
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
Maxwell T. West, M. E. Sevior, Muhammad Usman
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
Efficient estimation of trainability for variational quantum circuits
Valentin Heyraud, Zejian Li, Kaelan Donatella, et al.
arXiv (Cornell University) (2023)
Open Access
Valentin Heyraud, Zejian Li, Kaelan Donatella, et al.
arXiv (Cornell University) (2023)
Open Access
Permutation Invariant Encodings for Quantum Machine Learning with Point Cloud Data
Jamie Heredge, Charles D. Hill, Lloyd C. L. Hollenberg, et al.
arXiv (Cornell University) (2023)
Open Access
Jamie Heredge, Charles D. Hill, Lloyd C. L. Hollenberg, et al.
arXiv (Cornell University) (2023)
Open Access
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
Koki Chinzei, Quoc Hoan Tran, Kazunori Maruyama, et al.
arXiv (Cornell University) (2023)
Open Access
Koki Chinzei, Quoc Hoan Tran, Kazunori Maruyama, et al.
arXiv (Cornell University) (2023)
Open Access
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.
arXiv (Cornell University) (2023)
Open Access
Maxwell T. West, Azar C. Nakhl, Jamie Heredge, et al.
arXiv (Cornell University) (2023)
Open Access
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, et al.
arXiv (Cornell University) (2023)
Open Access
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, et al.
arXiv (Cornell University) (2023)
Open Access
Grover's Implementation of Quantum Binary Neural Networks
Brody Wrighter, Sonia Lopez Alarcón
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 313-323
Closed Access
Brody Wrighter, Sonia Lopez Alarcón
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 313-323
Closed Access