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 1453-1464 of 4,009
Comparative Analysis of Classical Public-Key Cryptography and NIST-Standardized Post-Quantum Algorithms with a Focus on Migration Strategies
Sreerasmi V M
Comparative Literature Survey on Quantum Computing Approaches for Genome Assembly and Sequence Analysis
Amaljith K H
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