Quantum Machine Learning
4,297 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 2161-2172 of 4,297
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh
A quantum computing measurement and control system with an FPGA-based scheduling system.
Liu Y, Li Y.
A quantum GAN for entanglement detection and image classification
James E. Steck, Elizabeth C. Behrman
A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
Dean Brand, Francesco Petruccione
A quantum machine learning classifier to search for new physics
Ji-Chong Yang, Shuai Zhang, Chong-Xing Yue
A Quantum Neural Network-Based Approach to Power Quality Disturbances Detection and Recognition
Guo-Dong Li, Hai-Yan He, Yue Li, Xin-Hao Li, Hao Liu, Qing-Le Wang, Long Cheng
A Quantum Vault Scheme for Digital Currency
Anne Broadbent, Raza Ali Kazmi, Cyrus Minwalla
A Quantum-Inspired Analysis of Human Disambiguation Processes
Daphne Wang
A solution for constructing quantum – resistant digital signature schemes
Lưu Hồng Dũng, Nguyen Kim Tuan, Nong Phuong Trang, Pham Van Quoc
A Survey of Methods for Mitigating Barren Plateaus for Parameterized Quantum Circuits
Michelle Gelman
A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems
Lorenzo Brevi, Antonio Mandarino, Enrico Prati
Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation
Rong Fu, Zhongling Su, Han-Sen Zhong, Xiti Zhao, Jianyang Zhang, Feng Pan, Pan Zhang, Xianhe Zhao, Ming-Cheng Chen, Chao-Yang Lu, Jian-Wei Pan, Zhiling Pei, Xingcheng Zhang, Wanli Ouyang