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 481-486 of 486
Variational Quantum RNS Comparator: A Cluster-Inspired Quantum Machine Learning Architecture for Residue Number Systems
Ghayour P.
2025
Europe PMC
Europe PMC
Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
Le Tung Giang, Vu Hoang Viet, Nguyen Xuan Tung, Trinh Van Chien, Won-Joo Hwang
2025
arXiv
arXiv preprint
Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
David Layden, Ryan Sweke, Vojtěch Havlíček, Anirban Chowdhury, Kirill Neklyudov
2025
arXiv
arXiv preprint
Wavelength-Based Quantum Coding in Vision and Hearing: A Comparative Analysis of Neural Processing Architectures
Ravinder Jerath, Varsha Malani
2025
Crossref
Journal of Neurological Sciences and Research
What is Stochastic Supervenience?
Youheng Zhang
2025
arXiv
arXiv preprint
When Abstraction Breaks Physics: Rethinking Modular Design in Quantum Software
Jianjun Zhao
2025
arXiv
arXiv preprint