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 2461-2472 of 3,957

Foundations of Quantum Federated Learning Over Classical and Quantum Networks

Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Don Towsley, Mérouane Debbah

2023 arXiv arXiv preprint

Fourier Neural Differential Equations for learning Quantum Field Theories

Isaac Brant, Alexander Norcliffe, Pietro Liò

2023 arXiv arXiv preprint

FPGA-Placement via Quantum Annealing

Thore Gerlach, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski

2023 arXiv arXiv preprint

Full-Stack Quantum Software in Practice: Ecosystem, Stakeholders and Challenges

Vlad Stirbu, Majid Haghparast, Muhammad Waseem, Niraj Dayama, Tommi Mikkonen

2023 arXiv arXiv preprint

Generative Learning of Continuous Data by Tensor Networks

Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Guillaume Rabusseau, Alejandro Perdomo-Ortiz

2023 arXiv arXiv preprint

Generative quantum machine learning via denoising diffusion probabilistic models

Bingzhi Zhang, Peng Xu, Xiaohui Chen, Quntao Zhuang

2023 arXiv arXiv preprint

Gibbs state sampling via cluster expansions

Norhan M. Eassa, Mahmoud M. Moustafa, Arnab Banerjee, Jeffrey Cohn

2023 arXiv arXiv preprint

Grad DFT: a software library for machine learning enhanced density functional theory

Pablo A. M. Casares, Jack S. Baker, Matija Medvidovic, Roberto dos Reis, Juan Miguel Arrazola

2023 arXiv arXiv preprint

Grover Search for Portfolio Selection

A. Ege Yilmaz, Stefan Stettler, Thomas Ankenbrand, Urs Rhyner

2023 arXiv arXiv preprint

Hamiltonian Encoding for Quantum Approximate Time Evolution of Kinetic Energy Operator

Mostafizur Rahaman Laskar, Kalyan Dasgputa, Amit Kumar Dutta, Atanu Bhattacharya

2023 arXiv arXiv preprint

Hardware Architecture for a Quantum Computer Trusted Execution Environment

Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer

2023 arXiv arXiv preprint

Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning

Keyi Ju, Xiaoqi Qin, Hui Zhong, Xinyue Zhang, Miao Pan, Baoling Liu

2023 arXiv arXiv preprint
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