Quantum Machine Learning
486 papers for year 2025
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 61-72 of 486
Atomistic simulations of thermodynamic properties with nuclear quantum effects of liquid gallium from first principles
Hongyu Wu, Wenliang Shi, Ri He, Guoyong Shi, Chunxiao Zhang, Jinyun Liu, Zhicheng Zhong, Runwei Li
Attribute Reduction of Incomplete Neighborhood Decision Rough Sets Based on Decision‑Cost Fusion Measures
ZHANG Wanxiang, ZHANG Xianyong, YANG Jilin, CHEN Benwei
Automated electrostatic characterization of quantum dot devices in single- and bilayer heterostructures
Merritt P. R. Losert, Dario Denora, Barnaby van Straaten, Michael Chan, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Justyna P. Zwolak
Automatic tuning of a donor in a silicon quantum device using machine learning
Brandon Severin, Tim Botzem, Federico Fedele, Xi Yu, Benjamin Wilhelm, Holly G. Stemp, Irene Fernández de Fuentes, Daniel Schwienbacher, Danielle Holmes, Fay E. Hudson, Andrew S. Dzurak, Alexander M. Jakob, David N. Jamieson, Andrea Morello, Natalia Ares
Autonomous Floquet Engineering of Bosonic Codes via Reinforcement Learning
Zheping Wu, Lingzhen Guo, Haobin Shi, Wei-Wei Zhang
Axiomatising the dagger category of complex Hilbert spaces
Jan Paseka, Thomas Vetterlein
Bacteriophage-based biosensors technology: Materials, fabrications, efficiencies and shortcomings.
Haq IU, Rahim K, Maryam S, Paker NP
Beyond Fiber: Toward Terahertz Bandwidth in Free-Space Optical Communication
Rahat Ullah, Sibghat Ullah, Jianxin Ren, Hathal Salamah Alwageed, Yaya Mao, Zhipeng Qi, Feng Wang, Suhail Ayoub Khan, Umar Farooq
Beyond Penrose tensor diagrams with the ZX calculus: Applications to quantum computing, quantum machine learning, condensed matter physics, and quantum gravity
Quanlong Wang, Richard D. P. East, Razin A. Shaikh, Lia Yeh, Boldizsár Poór, Bob Coecke
Bridging Deep Learning and Quantum Computing for EEG-Driven P300 Targeted ASD Response Detection
Sapthak Mohajon Turjya, Mulham Fawakherji
Bridging quantum and classical computing for partial differential equations through multifidelity machine learning
Bruno Jacob, Amanda A. Howard, Panos Stinis
Can Entanglement Measures Predict LOCC Majorization Ordering? A Machine Learning Study of Two-Qubit Systems
Erol V.