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:
Transition role of entangled data in quantum machine learning
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Showing 6 citing articles:
Learning Quantum States and Unitaries of Bounded Gate Complexity
Haimeng Zhao, L. Lewis, Ishaan Kannan, et al.
PRX Quantum (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 6
Haimeng Zhao, L. Lewis, Ishaan Kannan, et al.
PRX Quantum (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 6
Feasible preparation of polarization hybrid Greenberger-Horne-Zeilinger state based on optimal quantum scissors
Shuai Cui, Shi‐Pu Gu, Xing-Fu Wang, et al.
Quantum Information Processing (2025) Vol. 24, Iss. 2
Closed Access
Shuai Cui, Shi‐Pu Gu, Xing-Fu Wang, et al.
Quantum Information Processing (2025) Vol. 24, Iss. 2
Closed Access
An Overview of Quantum Machine Learning Research in China
Luning Li, Xuchen Zhang, Zhicheng Cui, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2555-2555
Open Access
Luning Li, Xuchen Zhang, Zhicheng Cui, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2555-2555
Open Access
Linear Structure of Training Samples in Quantum Neural Network Applications
A. Mandl, Johanna Barzen, Marvin Bechtold, et al.
Lecture notes in computer science (2024), pp. 150-161
Closed Access | Times Cited: 3
A. Mandl, Johanna Barzen, Marvin Bechtold, et al.
Lecture notes in computer science (2024), pp. 150-161
Closed Access | Times Cited: 3
Exploring the Power of Entangled Data in Quantum Machine Learning
Xinbiao Wang, Yuxuan DU, Zhuozhuo TU, et al.
Wuhan University Journal of Natural Sciences (2024) Vol. 29, Iss. 3, pp. 193-194
Open Access
Xinbiao Wang, Yuxuan DU, Zhuozhuo TU, et al.
Wuhan University Journal of Natural Sciences (2024) Vol. 29, Iss. 3, pp. 193-194
Open Access
Minimial-Risk Training Samples for QNN Training from Measurements
A. Mandl, Johanna Barzen, Marvin Bechtold, et al.
Communications in computer and information science (2024), pp. 107-127
Closed Access
A. Mandl, Johanna Barzen, Marvin Bechtold, et al.
Communications in computer and information science (2024), pp. 107-127
Closed Access
