Quantum Machine Learning
659 papers from Crossref
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 61-72 of 659
Circular Polarization-Based Quantum Encoding for Image Transmission over Error-Prone Channels
Udara Jayasinghe, Anil Fernando
Classical neural networks on quantum devices via tensor network disentanglers: A case study in image classification
Borja Aizpurua, Sukhbinder Singh, Román Orús
Classical Quantum Federated Learning for Mental Stress Detection
Aarya Lambore, Prajwal Thorat, Sarthak Wayase, Vaibhav Jadhav, Mr. Digambar Padulkar
Classification of security challenges and mitigation approaches in the quantum software engineering
Badhon Rahman, Majid Haghparast, Tommi Mikkonen
Closed-Loop CBRAM Crossbar System Toward Hardware Acceleration of Quantum Algorithms
Iosif-Angelos Fyrigos, Theodoros Panagiotis Chatzinikolaou, Konstantinos Rallis, Vasileios Ntinas, Panagiotis Bousoulas, Dimitris Tsoukalas, Panagiotis Dimitrakis, Yue Zhang, Georgios Ch. Sirakoulis
Comparative Study of Classical and Quantum Machine Learning Models: Insights into Quantum Advantage in Materials Informatics
Aris Tri Joko Harjanto, Hindriyanto Dwi Purnomo, Hendry
Comparing Classical and Quantum Deep Learning Techniques for Anomaly Detection of Short-Duration Gamma-Ray Signals
Alessandro Rizzo, Nicolò Parmiggiani, Andrea Bulgarelli, Antonio Macaluso, Carlo Burigana, Eric Burns, Luca Cappelli, Vincenzo Fabrizio Cardone, Farida Farsian, Savitri Gallego, Giuseppe Murante, Giuseppe Sarracino, Roberto Scaramella, Francesco Schillirò, Vincenzo Testa, Tiziana Trombetti, Dieter H. Hartmann, Carolyn A. Kierans, Eliza Neights, John A. Tomsick, Andreas Zoglauer
Computación cuántica: de qubits a qudits
Laura Tenjo Patiño, Juan David Hormaza Pantoja, Alcides Montoya Cañola
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
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