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:
Symmetric tensor networks for generative modeling and constrained combinatorial optimization
Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo‐Ortiz
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035009-035009
Open Access | Times Cited: 8
Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo‐Ortiz
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035009-035009
Open Access | Times Cited: 8
Showing 8 citing articles:
A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 14
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 14
Generalization metrics for practical quantum advantage in generative models
Kaitlin Gili, Marta Mauri, Alejandro Perdomo‐Ortiz
Physical Review Applied (2024) Vol. 21, Iss. 4
Open Access | Times Cited: 7
Kaitlin Gili, Marta Mauri, Alejandro Perdomo‐Ortiz
Physical Review Applied (2024) Vol. 21, Iss. 4
Open Access | Times Cited: 7
Enhancing combinatorial optimization with classical and quantum generative models
Javier Alcazar, Mohammad Ghazi Vakili, Can B. Kalaycı, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Javier Alcazar, Mohammad Ghazi Vakili, Can B. Kalaycı, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Privacy-preserving machine learning with tensor networks
Alejandro Pozas-Kerstjens, Senaida Hernández-Santana, José Ramón Pareja Monturiol, et al.
Quantum (2024) Vol. 8, pp. 1425-1425
Open Access | Times Cited: 3
Alejandro Pozas-Kerstjens, Senaida Hernández-Santana, José Ramón Pareja Monturiol, et al.
Quantum (2024) Vol. 8, pp. 1425-1425
Open Access | Times Cited: 3
Tensor Networks for Interpretable and Efficient Quantum-Inspired Machine Learning
Shi-Ju Ran, Gang Su
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 5
Shi-Ju Ran, Gang Su
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 5
TensorKrowch: Smooth integration of tensor networks in machine learning
José Ramón Pareja Monturiol, David Pérez-Garcı́a, Alejandro Pozas-Kerstjens
Quantum (2024) Vol. 8, pp. 1364-1364
Open Access | Times Cited: 1
José Ramón Pareja Monturiol, David Pérez-Garcı́a, Alejandro Pozas-Kerstjens
Quantum (2024) Vol. 8, pp. 1364-1364
Open Access | Times Cited: 1
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
TensorKrowch: Smooth integration of tensor networks in machine learning
José Ramón Pareja Monturiol, David Pérez-Garcı́a, Alejandro Pozas-Kerstjens
arXiv (Cornell University) (2023)
Open Access
José Ramón Pareja Monturiol, David Pérez-Garcı́a, Alejandro Pozas-Kerstjens
arXiv (Cornell University) (2023)
Open Access
