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 157-168 of 486
From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
Paul-Niklas Ken Kandora, Adrian Asmund Fessler, Robert Fabian Lindermann, Phil Arnold, Andreas Hempel, Steffen Rebennack
From Classical Rationality to Contextual Reasoning: Quantum Logic as a New Frontier for Human-Centric AI in Finance
Fabio Bagarello, Francesco Gargano, Polina Khrennikova
From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning
Silvie Illésová, Tomáš Bezděk, Vojtěch Novák, Ivan Zelinka, Stefano Cacciatore, Martin Beseda
FRQI Pairs method for image classification using Quantum Recurrent Neural Network
Rafał Potempa, Michał Kordasz, Sundas Naqeeb Khan, Krzysztof Werner, Kamil Wereszczyński, Krzysztof Simiński, Krzysztof A. Cyran
FRUIT CROP DISEASE CLASSIFICATION USING QUANTUM MACHINE LEARNING: A PILOT STUDY
ABHISHEK CHANDRAKANT NIKAM, RAHUL BORATE, MASIRA KULKARNI, AAYUSH PATIL, SADAF SHAIKH
Fundamentals of quantum Boltzmann machine learning with visible and hidden units
Mark M. Wilde
Further Statistical Study of NISQ Experiments
Gil Kalai, Tomer Shoham, Carsten Voelkmann
Fusion of classical and quantum kernels enables accurate and robust two-sample tests
Yu Terada, Yugo Ogio, Ken Arai, Hiroyuki Tezuka, Yu Tanaka
Future of Digital Trade: Integrating Quantum Computing with AI and Block chain for Intelligent and Trustworthy eCommerce
Temitope Oluwatosin Fatunmbi
GaDE -- GPU-acceleration of time-dependent Dirac Equation for exascale
Johanne Elise Vembe, Marcin Krotkiewski, Magnar Bjørgve, Morten Førre, Hicham Agueny
General Machine Learning Algorithm for Quantum Teleportation
Allison Brattley, Tomas Opatrny, Kunal K. Das
Generative Adversarial Variational Quantum Kolmogorov-Arnold Network
Hikaru Wakaura