Quantum Machine Learning
486 papers for year 2025
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 241-252 of 486
Medusa: Detecting and Removing Failures for Scalable Quantum Computing
Karoliina Oksanen, Quan Hoang, Alexandru Paler
Methods and Tools for Secure Quantum Clouds with a specific Case Study on Homomorphic Encryption
Aurelia Kusumastuti, Nikolay Tcholtchev, Philipp Lämmel, Sebastian Bock, Manfred Hauswirth
Metropolitan-scale ion-photon entanglement via a quantum network node with hybrid multiplexing enhancements.
Cui ZB, Wang ZQ, Lai PC, Wang Y, Shi JX, Liu PY, Sun YD, Tian ZC, Liang YB, Qi BX, Huang YY, Zhou ZC, Wu YK, Xu Y, Duan LM, Pu YF.
Mind the gaps: The fraught road to quantum advantage
Jens Eisert, John Preskill
Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
Swathi Chandrasekhar, Shiva Raj Pokhrel, Swati Kumari, Navneet Singh
Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection
Swati Kumari, Shiva Raj Pokhrel, Swathi Chandrasekhar, Navneet Singh, Hridoy Sankar Dutta, Adnan Anwar, Sutharshan Rajasegarar, Robin Doss
Multi Agent Energy Management Prediction and Load Balanced Clustering Framework for WSNs using Quantum Bio-Inspired PSO Optimization
Department of Computer Science, Tiruppur Kumaran College for Women, Tiruppur, TamilNadu, India, S Hilda, C Kalaiselvi
Multi-Armed Bandits and Quantum Channel Oracles
Simon Buchholz, Jonas M. Kübler, Bernhard Schölkopf
Multi-target quantum walk search on Johnson graph
Pulak Ranjan Giri
Multiverse: A Simulator for Evaluating Entanglement Routing in Quantum Networks
Amar Abane, Junxiao Shi, Van Sy Mai, Abderrahim Amlou, Abdella Battou
Navigating the Quantum Resource Landscape of Entropy Vector Space Using Machine Learning and Optimization
Nothando Khumalo, Aman Mehta, William Munizzi, Prineha Narang
Near-optimal Prediction Error Estimation for Quantum Machine Learning Models
Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Jerry Zhijian Yang