Quantum Machine Learning
4,265 papers
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 313-324 of 4,265
Constructing Diabatic Potential Energy Matrices with Quantum Dynamic Accuracy: A Neural Network Based Δ-Machine Learning Approach.
Hou S, Zhang Z, Xie C
Construction of good cyclic codes and quantum error correcting codes using reversed Dickson polynomials
Varsha Tiwari, Pramod Kumar Kewat
Contractive unitary and classical shadow tomography
Yadong Wu, Ce Wang, Juan Yao, Hui Zhai, Yi-Zhuang You, Pengfei Zhang
Control-Plane Openness in Near-Term Quantum Computing: A Survey of Vendor Stacks and Field Implications
Rylan Malarchick
Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs
Erik L. Connerty, Ethan N. Evans
Convergence and efficiency proof of quantum imaginary time evolution for bounded order systems
Tobias Hartung, Karl Jansen
Convergence of multiplexed immunosensors, nanotechnology, and AI for early pancreatic cancer diagnosis.
Abuhassan Q, Mutee AF, Shareef A, Pate PN, Jyothi SR, Singh G, Maharana L, Arora V, Polatova D, Sameer HN, Yaseen A, Athab ZH, Adil M
Correction: Quantum-inspired fused explainable deep learning framework for early enamel caries classification in intraoral photographs.
Khurshid Z, Habib Z, Schwendicke F, Osathanon T
Corrigendum to “Distributed quantum computing: A survey” [Computer Networks Volume 254 December 2024 110672]
Marcello Caleffi, Michele Amoretti, Davide Ferrari, Jessica Illiano, Antonio Manzalini, Angela Sara Cacciapuoti
Corrigendum to “Mechanism-aware analysis of Cu-doped CoCr2O4 via machine learning and quantum-inspired electrochemical methods” [J. Energy Storage 154 (2026) 121212]
Ming-Kang Ho, Shih-Lung Yu, Yi-En Wu, Wei-Che Lo, Tsu-En Hsu, Hai Yen Thi Nguyen, K. Manjunatha, H. Nagabhushana, Meng-Chu Chen, Sheng Yun Wu
Corrigendum to “Solving combinatorial optimization and machine learning problems on hybrid near-term quantum photonic computers” [Future Gener. Comput. Syst. 174 (2026) 107934]
Mateusz Slysz, Łukasz Grodzki, Piotr Rydlichowski, Dawid Siera, Krzysztof Kurowski, Grzegorz Waligóra, Jan Węglarz
Coset Ensemble Decoder for Quantum Error Correction with Algorithm-Hardware Co-Design
Shuang Liang, Jubo Xu, Giulio Bassanino, Qianzhou Wang, Yidong Zhou, Yuncheng Lu, Zhiwen Mo, Paul H. J. Kelly, Bo Yuan, Wayne Luk, Hongxiang Fan