Open Access Helper

OpenAlex Citation Counts

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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:

Deep quantum neural networks on a superconducting processor
Xiaoxuan Pan, Zhide Lu, Weiting Wang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
Yaswitha Gujju, Atsushi Matsuo, Rudy Raymond
Physical Review Applied (2024) Vol. 21, Iss. 6
Open Access | Times Cited: 14
Experimental benchmarking of quantum state overlap estimation strategies with photonic systems
Hao Zhan, Ben Wang, Minghao Mi, et al.
Light Science & Applications (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Quantum machine learning: a systematic categorization based on learning paradigms, NISQ suitability, and fault tolerance
Bisma Majid, Shabir Ahmad Sofi, Zamrooda Jabeen
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 1
Learning the Expressibility of Quantum Circuit Ansatz Using Transformer
Fei Zhang, Jie Li, Zhimin He, et al.
Advanced Quantum Technologies (2025)
Closed Access | Times Cited: 1
Design and analysis of quantum machine learning: a survey
Linshu Chen, Tao Li, Yuxiang Chen, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 5
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
J. E. García-Ramos, Álvaro Sáiz, J. M. Arias, et al.
Advanced Quantum Technologies (2024)
Open Access | Times Cited: 4
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Mirjana Maksimović, Ivan S. Maksymov
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 1, pp. 12-12
Open Access
Quantum data processing and analysis: revolutionizing data science
Dipak Raskar, Rajiv R. Iyer, Vedprakash C. Maralapalle
Elsevier eBooks (2025), pp. 189-214
Closed Access
Multi-source physical information driven deep learning in intelligent education: Unleashing the potential of deep neural networks in complex educational evaluation
Zhizhong Xing, Ying Yang, Li Tan, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Quantum data parallelism in quantum neural networks
Sixuan Wu, Yue Zhang, Jian Li
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Code-level quantum circuit generation based on large language models
HE Zhimin, Guohong Li, SITU Haozhen, et al.
Zhongguo kexue. Wulixue Lixue Tianwenxue (2025) Vol. 55, Iss. 4, pp. 240316-240316
Closed Access
Self-supervised representation learning for Bayesian quantum architecture search
Zhimin He, Hongxiang Chen, Yan Zhou, et al.
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 3
Closed Access
Architectural patterns for designing Quantum Artificial Intelligence Systems
Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, et al.
Journal of Systems and Software (2025), pp. 112456-112456
Open Access
Probing Many-Body Bell Correlation Depth with Superconducting Qubits
Ke Wang, Weikang Li, Shibo Xu, et al.
Physical Review X (2025) Vol. 15, Iss. 2
Open Access
Learning Fourier series with parametrized quantum circuits
Dirk Heimann, Hans Hohenfeld, Gunnar Schönhoff, et al.
Physical Review Research (2025) Vol. 7, Iss. 2
Open Access
A Dynamic-Routing Algorithm Based on a Virtual Quantum Key Distribution Network
Lin Bi, Minghui Miao, Xiaoqiang Di
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8690-8690
Open Access | Times Cited: 7
Quantum Architecture Search with Neural Predictor Based on Graph Measures
Zhimin He, Zhengjiang Li, Maijie Deng, et al.
Advanced Quantum Technologies (2024) Vol. 7, Iss. 11
Open Access | Times Cited: 1
In situ mixer calibration for superconducting quantum circuits
Nan Wu, Jing Lin, Chunsong Xie, et al.
Applied Physics Letters (2024) Vol. 125, Iss. 20
Closed Access | Times Cited: 1
Universal adversarial perturbations for multiple classification tasks with quantum classifiers
Yunzhong Qiu
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 045009-045009
Open Access | Times Cited: 3
A hybrid quantum ensemble learning model for malicious code detection
Qibing Xiong, Xiaodong Ding, Yangyang Fei, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 3, pp. 035021-035021
Open Access
Quantum classifiers with a trainable kernel
Li Xu, Xiaoyu Zhang, Ming Li, et al.
Physical Review Applied (2024) Vol. 21, Iss. 5
Closed Access
Quantum-Tunnelling Deep Neural Networks for Sociophysical Neuromorphic AI
Ivan S. Maksymov
(2024)
Open Access
Distributed quantum architecture search
Haozhen Situ, Zhimin He, Shenggen Zheng, et al.
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 2
Open Access
Gate-based quantum neurons in hybrid neural networks
Changbin Lu, Mengjun Hu, Fuyou Miao, et al.
New Journal of Physics (2024) Vol. 26, Iss. 9, pp. 093037-093037
Open Access
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