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 2449-2460 of 3,957

Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment

Soronzonbold Otgonbaatar, Dieter Kranzlmüller

2023 arXiv arXiv preprint

Exploring the Optimal Cycle for Quantum Heat Engine using Reinforcement Learning

Gao-xiang Deng, Haoqiang Ai, Bingcheng Wang, Wei Shao, Yu Liu, Zheng Cui

2023 arXiv arXiv preprint

Exponential Quantum Communication Advantage in Distributed Inference and Learning

Dar Gilboa, Hagay Michaeli, Daniel Soudry, Jarrod R. McClean

2023 arXiv arXiv preprint

Expressive variational quantum circuits provide inherent privacy in federated learning

Niraj Kumar, Jamie Heredge, Changhao Li, Shaltiel Eloul, Shree Hari Sureshbabu, Marco Pistoia

2023 arXiv arXiv preprint

Extrapolation of polaron properties to low phonon frequencies by Bayesian machine learning

Pranav Kairon, John Sous, Mona Berciu, Roman V. Krems

2023 arXiv arXiv preprint

Fast reconstruction algorithm based on HMC sampling.

Lian H, Xu J, Zhu Y, Fan Z, Liu Y, Shan Z.

2023 Europe PMC Sci Rep

Federated Quantum Long Short-term Memory (FedQLSTM)

Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo

2023 arXiv arXiv preprint

Federated Quantum Machine Learning with Differential Privacy

Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen

2023 arXiv arXiv preprint

Financial Fraud Detection using Quantum Graph Neural Networks

Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, Siddhant Dutta, Sairupa Thota, Husayn Gokal, Nandan Patel, Muhammad Al-Zafar Khan, Ioannis Theodonis, Mohamed Bennai

2023 arXiv arXiv preprint

Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models

Nouhaila Innan, Muhammad Al-Zafar Khan, Mohamed Bennai

2023 arXiv arXiv preprint

Finding Optimal Training Parameters for Quantum Generative Adversarial Networks

C. Strynar, R. M. Rajapakse

2023 arXiv arXiv preprint

First quantum machine learning applications on an on-site room-temperature quantum computer

Nils Herrmann, Mariam Akhtar, Daanish Arya, Marcus W. Doherty, Pascal Macha, Florian Preis, Stefan Prestel, Michael L. Walker

2023 arXiv arXiv preprint
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