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 3457-3468 of 3,957
The Foundations of Quantum Mechanics in Post-War Italy's Cultural Context
Flavio Del Santo
The power of quantum neural networks
Amira Abbas, David Sutter, Christa Zoufal, Aurélien Lucchi, Alessio Figalli, Stefan Woerner
The Quantum Wasserstein Distance of Order 1
Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd
The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams
Renju S. Mathew, Roshan O'Donnell, Danielle Pizzey, Ifan G. Hughes
Tight adaptive reprogramming in the QROM
Alex B. Grilo, Kathrin Hövelmanns, Andreas Hülsing, Christian Majenz
Time-dependent atomic magnetometry with a recurrent neural network
Maryam Khanahmadi, Klaus Mølmer
Toward a Holistic Understanding of the Formation and Growth of Atmospheric Molecular Clusters: A Quantum Machine Learning Perspective
Jonas Elm
Toward Trainability of Quantum Neural Networks
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao
Towards Building A Facial Identification System Using Quantum Machine Learning Techniques
Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche, Richard Jiang
Towards the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space
Stefan Heinen, Guido Falk von Rudorff, O. Anatole von Lilienfeld
Training a quantum annealing based restricted Boltzmann machine on cybersecurity data
Vivek Dixit, Raja Selvarajan, Tamer Aldwairi, Yaroslav Koshka, Mark A. Novotny, Travis S. Humble, Muhammad A. Alam, Sabre Kais
U(1) symmetric recurrent neural networks for quantum state reconstruction
Stewart Morawetz, Isaac J. S. De Vlugt, Juan Carrasquilla, Roger G. Melko