Quantum Machine Learning
4,009 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 997-1008 of 4,009
Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets
Carlos A. Durán Paredes, Javier E. León Calderón, Nicolás Sánchez Perea, German Darío Díaz, Camilo Segura Quintero
Quantum Machine Learning for Industrial Applications
Léo Monbroussou
Quantum machine learning for industry 5.0: Fundamental, applications and research challenges
Zulqarnain Ahmed, J H Hemanth Kakarla, Abhishek Hazra, Mohan Gurusamy
Quantum Machine Learning for Noisy Intermediate-Scale Quantum Devices: A Comprehensive Review
Unknown
Quantum Machine Learning for particle scattering entanglement classification
Hala Elhag, Yahui Chai
Quantum machine learning for the quantum lattice Boltzmann method: Trainability of variational quantum circuits for the nonlinear collision operator across multiple time steps
Antonio David Bastida Zamora, Ljubomir Budinski, Pierre Sagaut, Valtteri Lahtinen
Quantum Machine Learning in Laboratory Medicine: A Leap into the Future?
Zang C, Yang HS
Quantum Machine Learning Using Quantum Illumination With Quantum Enhanced Interference
Pallab Biswas, Tamal Maity
Quantum Measurement Statistics as Bayesian Uncertainty Estimators for Physics-Constrained Learning
Prasad Nimantha Madusanka Ukwatta Hewage, Midhun Chakkravarthy, Ruvan Kumara Abeysekara
Quantum measures of credit risk factors
Qi Han, Xuan Song
Quantum mechanical framework for quantization-based optimization: from Gradient flow to Schroedinger equation
Jinwuk Seok, Changsik Cho
Quantum mechanics-guided parameterization enhances molecular dynamics accuracy for flavonoid-membrane biophysical properties
Anna I. Malykhina, Svetlana S. Efimova, Victor M. Nazarychev, Olga S. Ostroumova