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 85-96 of 486
Composite N-Q-S: Serial/Parallel Instrument Axioms, Bipartite Order-Effect Bounds, and a Monitored Lindblad Limit
Kazuyuki Yoshida
COMPREHENSIVE REVIEW OF DEMOGRAPHIC, PHYCHOLOGICAL AND TECHNICAL FACTORS SHAPING INFORMATION SECURITY BEHAVIOUR IN CYBERSPACE
SHUTING HUANG, LATIF RAHMAN, HASLINDA HUSAINI
Constraint-oriented biased quantum search for linear constrained combinatorial optimization problems
Sören Wilkening, Timo Ziegler, Maximilian Hess
Continuous-variable photonic quantum extreme learning machines for fast collider-data selection
Benedikt Maier, Michael Spannowsky, Simon Williams
Correcting quantum errors one gradient step at a time
Manav Seksaria, Anil Prabhakar
Correlation of divergency: c-delta. Being different in a similar way or not
Johan F. Hoorn
Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data
Abhishek Anand, Matthias C. Caro, Ari Karchmer, Saachi Mutreja
CUNQA: a Distributed Quantum Computing emulator for HPC
Jorge Vázquez-Pérez, Daniel Expósito-Patiño, Marta Losada, Álvaro Carballido, Andrés Gómez, Tomás F. Pena
Curvature-Aware Optimization of Noisy Variational Quantum Circuits via Weighted Projective Line Geometry
Gunhee Cho, Jessie Wang, Angela Yue
Curved Boolean Logic: A Contextual Generalization of Propositional Logic with Algorithmic Consequences
Maximilian R. P. von Liechtenstein
Cyber Attack Prediction Using Machine Learning: A Comparative Study of Bayesian Network and Support Vector Machine
Cut Try Utari, Indri Sulistianingsih, Diva Rofsyahfitri, Nurul Rizkina Kalsum Batubara, Wizdanil Yumna Nawar
Cyber Threat Detection Enabled by Quantum Computing
Zisheng Chen, Zirui Zhu, Xiangyang Li