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.

Showing 181-192 of 416

Learning unitaries with quantum statistical queries

Armando Angrisani

2023 arXiv arXiv preprint

Let Quantum Neural Networks Choose Their Own Frequencies

Ben Jaderberg, Antonio A. Gentile, Youssef Achari Berrada, Elvira Shishenina, Vincent E. Elfving

2023 arXiv arXiv preprint

Leveraging Quantum Machine Learning for Actuarial Predictions in Health Insurance

Associate Professor, Department of Machine Learning, University of Toronto, Canada, Jessica Taylor

2023 Crossref Artificial Intelligence, Quantum Computing, Robotics, Science and Technology Journal

Local Reasoning about Probabilistic Behaviour for Classical-Quantum Programs

Huiling Wu, Yuxin Deng, Ming Xu

2023 arXiv arXiv preprint

Long-lived Particles Anomaly Detection with Parametrized Quantum Circuits

Simone Bordoni, Denis Stanev, Tommaso Santantonio, Stefano Giagu

2023 arXiv arXiv preprint

Longest Common Substring and Longest Palindromic Substring in $\tilde{\mathcal{O}}(\sqrt{n})$ Time

Domenico Cantone, Simone Faro, Arianna Pavone, Caterina Viola

2023 arXiv arXiv preprint

Low-noise amplifier cryogenic testbed validation in a TaaS (Testing-as-a-Service) framework

Brandon Boiko, Eric J. Zhang, Doug Jorgesen, Sebastian Engelmann, Curtis Grosskopf, Ryan Paske

2023 arXiv arXiv preprint

Machine Learning Assisted Cognitive Construction of a Shallow Depth Dynamic Ansatz for Noisy Quantum Hardware

Sonaldeep Halder, Anish Dey, Chinmay Shrikhande, Rahul Maitra

2023 arXiv arXiv preprint

Machine Learning Catalysis of Quantum Tunneling

Renzo Testa, Alex Rodriguez, Alberto d'Onofrio, Andrea Trombettoni, Fabio Benatti, Fabio Anselmi

2023 arXiv arXiv preprint

Machine Learning for Anomaly Detection in Particle Physics

Vasilis Belis, Patrick Odagiu, Thea Klæboe Årrestad

2023 arXiv arXiv preprint

Machine learning for efficient generation of universal hybrid quantum computing resources

Amanuel Anteneh, Olivier Pfister

2023 arXiv arXiv preprint

Machine Learning for maximizing the memristivity of single and coupled quantum memristors

Carlos Hernani-Morales, Gabriel Alvarado, Francisco Albarrán-Arriagada, Yolanda Vives-Gilabert, Enrique Solano, José D. Martín-Guerrero

2023 arXiv arXiv preprint