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 3409-3420 of 3,957
Quantum Multiple Kernel Learning
Seyed Shakib Vedaie, Moslem Noori, Jaspreet S. Oberoi, Barry C. Sanders, Ehsan Zahedinejad
Quantum One-class Classification With a Distance-based Classifier
Nicolas M. de Oliveira, Lucas P. de Albuquerque, Wilson R. de Oliveira, Teresa B. Ludermir, Adenilton J. da Silva
Quantum physics in secondary school -- milq
Rainer Müller, Oxana Mishina
Quantum Radar: A Brief Analytical Study
Hasan Abbas Al-Moahmmed
Quantum Request-Answer Game with Buffer Model for Online Algorithms
Kamil Khadiev
Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices
Keisuke Fujii, Kohei Nakajima
Quantum Secret Sharing and Tripartite Information
Marius Junge, Chloe Kim, Guangkuo Liu, Peixue Wu
Quantum semi-supervised generative adversarial network for enhanced data classification
Kouhei Nakaji, Naoki Yamamoto
Quantum Software EngineeringSupremacy in Intelligent Robotics
V. V. Korenkov, A. G. Reshetnikov, S.V. Ulyanov
Quantum speedup in adaptive boosting of binary classification
XiMing Wang, YueChi Ma, Min-Hsiu Hsieh, Man-Hong Yung
Quantum State Tomography with Conditional Generative Adversarial Networks
Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, Anton Frisk Kockum
Quantum Strategic Organizational Design: Alignment in Industry 4.0 Complex-Networked Cyber-Physical Lean Management Systems.
Villalba-Diez J, Zheng X.