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 529-540 of 4,265
FEDCOMPASS: Federated Clustered and Periodic Aggregation Framework for Hybrid Classical-Quantum Models
Yueheng Wang, Xing He, Zinuo Cai, Rui Zhang, Ruhui Ma, Yuan Liu, Rajkumar Buyya
Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
Abhishek Sawaika, Durga Pritam Suggisetti, Udaya Parampalli, Rajkumar Buyya
FedQmc: A Federated Learning Backdoor Defense Method Based on Quantum State Encoding and Multiscale Aggregation in Industrial Internet of Things
Yuncan Tang, Lina Ni, Jinquan Zhang, Yongquan Liang
Feedback-Controlled Magnon-Atom Entanglement and Photon Statistics
Yiping Lu, Yulong Hu, Zhuzheng Han, Shirong Lin
Femtosecond-Laser-Induced Physical Unclonable Random Maze Structure for Storage-Free Encryption.
Jiang S, Li H, Ma S, Lee SS, Wang L, Hu M, Zeng H
Few-Shot Cross-Device Transfer for Quantum Noise Modeling on Real Hardware
Sahil Al Farib, Sheikh Redwanul Islam, Azizur Rahman Anik
Fidelity-Guaranteed Entanglement Routing with Distributed Purification Planning
Anthony Gatti, Anoosha Fayyaz, Prashant Krishnamurthy, Kaushik P. Seshadreesan, Amy Babay
Field Demonstration of a Multi-User Continuous-Variable Quantum Access Network for Quantum-to-the-Home
Junpeng Zhang, Xu Liu, Qijun Zhang, Yifeng Liang, Yue Yu, Peng Huang, Huasheng Li, Yingming Zhou, Jingyu Yang, Chunchen Li, Yunfan Chen, Cheng Zheng, Ciqing Deng, Tao Wang, Guihua Zeng
Fine-tuned phenylboronic acid polymer assembly with tannic acid enables adeno-associated virus to evade and suppress neutralizing antibody responses.
Xiao Y, Honda Y, Matsudaira N, Kinoh H, Shen X, Haochen G, Hayashita-Kinoh H, Gao S, Awaad A, Miura Y, Okada T, Nishiyama N
Fine-Tuning Directional Message Passing Neural Networks: Predicting Properties of Conjugated Organic Polymers with High Accuracy.
Koskin IP, Petrosyan LS, Kazantsev MS
Fingerprint Recognition of Partial Discharge Signals in Deep Learning Enhanced Rydberg Atomic Sensors
Yi-Ming Yin, Qi-Feng Wang, Yu Ma, Tian-Yu Han, Jia-Dou Nan, Zheng-Yuan Zhang, Han-Chao Chen, Xin Liu, Shi-Yao Shao, Jun Zhang, Qing Li, Ya-Jun Wang, Dong-Yang Zhu, Qiao-Qiao Fang, Chao Yu, Bang Liu, Li-Hua Zhang, Dong-Sheng Ding, Bao-Sen Shi
Finite-size resource scaling for learning quantum phase transitions with fidelity-based support vector machines
Aaqib Ali, Giovanni Scala, Cosmo Lupo, Antonio Mandarino