Quantum Machine Learning
486 papers for year 2025
Showing 469-480 of 486
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Ferhat Ozgur Catak, Jungwon Seo, Umit Cali
Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
Valter Uotila, Väinö Mehtola, Ilmo Salmenperä, Bo Zhao
Universal Quantum Random Access Memory: A Data-Independent Unitary with a Commuting-Projector Hamiltonian
Leonardo Bohac
Universal Quantum Simulation of 50 Qubits on Europe`s First Exascale Supercomputer Harnessing Its Heterogeneous CPU-GPU Architecture
Hans De Raedt, Jiri Kraus, Andreas Herten, Vrinda Mehta, Mathis Bode, Markus Hrywniak, Kristel Michielsen, Thomas Lippert
Universal super-resolution framework for imaging of quantum dots
Dominik Vašinka, Jaewon Lee, Charlie Stalker, Victor Mitryakhin, Ivan Solovev, Sven Stephan, Sven Höfling, Falk Eilenberger, Seth Ariel Tongay, Christian Schneider, Miroslav Ježek, Ana Predojević
Unlocking the Power of Boltzmann Machines by Parallelizable Sampler and Efficient Temperature Estimation
Kentaro Kubo, Hayato Goto
Unsupervised Machine Learning for Experimental Detection of Quantum-Many-Body Phase Transitions
Ron Ziv, David Wei, Antonio Rubio-Abadal, Daniel Adler, Anna Keselman, Eran Lustig, Ronen Talmon, Johannes Zeiher, Immanuel Bloch, Mordechai Segev
Unsupervised Topological Phase Discovery in Periodically Driven Systems via Floquet-Bloch State
Chen-Yang Wang, Jing-Ping Xu, Ce Wang, Ya-Ping Yang
Variational Quantum Brushes
Jui-Ting Lu, Henrique Ennes, Chih-Kang Huang, Ali Abbassi
Variational quantum computing for quantum simulation: principles, implementations, and challenges
Lucas Q. Galvão, Anna Beatriz M. de Souza, Marcelo A. Moret, Clebson Cruz
Variational quantum generative modeling by sampling expectation values of tunable observables.
Shen K, Kurkin A, Pérez-Salinas A, Shishenina E, Dunjko V, Wang H.
Variational Quantum Integrated Sensing and Communication
Ivana Nikoloska, Osvaldo Simeone