Quantum Machine Learning

3,957 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.

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Showing 2593-2604 of 3,957

Quantum generative adversarial learning in photonics

Yizhi Wang, Shichuan Xue, Yaxuan Wang, Yong Liu, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, Junjie Wu

2023 arXiv arXiv preprint

Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms

Sahil Nokhwal, Suman Nokhwal, Saurabh Pahune, Ankit Chaudhary

2023 arXiv arXiv preprint

Quantum Image Segmentation Based on Grayscale Morphology

Wenjie Liu, Lu Wang, Mengmeng Cui

2023 arXiv arXiv preprint

Quantum Kernel t-Distributed Stochastic Neighbor Embedding

Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

2023 arXiv arXiv preprint

Quantum Key Leasing for PKE and FHE with a Classical Lessor

Orestis Chardouvelis, Vipul Goyal, Aayush Jain, Jiahui Liu

2023 arXiv arXiv preprint

Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting

Saad Zafar Khan, Nazeefa Muzammil, Salman Ghafoor, Haibat Khan, Syed Mohammad Hasan Zaidi, Abdulah Jeza Aljohani, Imran Aziz

2023 arXiv arXiv preprint