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.

Showing 2317-2328 of 3,957

Variational Quantum Eigensolver: A Comparative Analysis of Classical and Quantum Optimization Methods

Duc-Truyen Le, Vu-Linh Nguyen, Cong-Ha Nguyen, Quoc-Hung Nguyen, Van-Duy Nguyen

2024 arXiv arXiv preprint

Variational Quantum Generative Modeling by Sampling Expectation Values of Tunable Observables

Kevin Shen, Andrii Kurkin, Adrián Pérez-Salinas, Elvira Shishenina, Vedran Dunjko, Hao Wang

2024 arXiv arXiv preprint

VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

Yanling Lin, Ji Guan, Wang Fang, Mingsheng Ying, Zhaofeng Su

2024 arXiv arXiv preprint

What can we Learn from Quantum Convolutional Neural Networks?

Chukwudubem Umeano, Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko

2024 Crossref Advanced Quantum Technologies

What is my quantum computer good for? Quantum capability learning with physics-aware neural networks

Daniel Hothem, Ashe Miller, Timothy Proctor

2024 arXiv arXiv preprint

When Quantum and Classical Models Disagree: Learning Beyond Minimum Norm Least Square

Slimane Thabet, Léo Monbroussou, Eliott Z. Mamon, Jonas Landman

2024 arXiv arXiv preprint

Why Teach Quantum In Your Own Time: The Values of Grassroots Organizations Involved in Quantum Technologies Education and Outreach

Ulrike Genenz, Neelanjana Anne, Zeynep Kılıç, Daniel Mathews, Oya Ok, Adrian Schmidt, Zeki Can Seskir

2024 arXiv arXiv preprint

Women for Quantum -- Manifesto of Values

Almut Beige, Ana Predojević, Anja Metelmann, Anna Sanpera, Chiara Macchiavello, Christiane P. Koch, Christine Silberhorn, Costanza Toninelli, Dagmar Bruß, Elisa Ercolessi, Elisabetta Paladino, Francesca Ferlaino, Giulia Ferrini, Gloria Platero, Ivette Fuentes, Kae Nemoto, Leticia Tarruell, Maria Bondani, Marilu Chiofalo, Marisa Pons, Milena D'Angelo, Mio Murao, Nicole Fabbri, Paola Verrucchi, Pascale Senellart-Mardon, Roberta Citro, Roberta Zambrini, Rosario González-Férez, Sabrina Maniscalco, Susana Huelga, Tanja Mehlstäubler, Valentina Parigi, Verónica Ahufinger

2024 arXiv arXiv preprint

ℤ<sub>2</sub> × ℤ<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu

2024 DOAJ Axioms

<scp>IFATA‐Deep</scp> net: Improved invasive feedback artificial tree algorithm with deep quantum neural network for root disease classification

C. Jackulin, S. Murugavalli, K. Valarmathi

2023 Crossref Concurrency and Computation: Practice and Experience

$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu

2023 arXiv arXiv preprint

A brief overview of programmed instructions for quantum software education

Richard A. Wolf, Sho Araiba

2023 arXiv arXiv preprint