Quantum Machine Learning

416 papers for year 2023

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 133-144 of 416

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

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
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