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 73-84 of 486
Capacity and SKR tradeoff in coexisting classical and CV-QKD metropolitan-reach optical links
Cagla Ozkan, Lucas Alves Zischler, Kadir Gumus, Joao dos Reis Frazao, Cristian Antonelli, Chigo Okonkwo
Categorical Framework for Quantum-Resistant Zero-Trust AI Security
I. Cherkaoui, C. Clarke, J. Horgan, I. Dey
Centipedes Leap into the Quantum Realm
Kaytki Chakankar, Xinhui Tang, Yiguo Zhang
Certified Lower Bounds and Efficient Estimation of Minimum Accuracy in Quantum Kernel Methods
Demerson N. Gonçalves, Tharso D. Fernandes, Andrias M. M. Cordeiro, Pedro H. G. Lugao, João T. Dias
Christ and the Quantum: Fundamentals of Theology of Science
Mark Harris
CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification
Junhao Chen, Yifan Zhou, Hanqi Jiang, Yi Pan, Yiwei Li, Huaqin Zhao, Wei Zhang, Yingfeng Wang, Tianming Liu
Classification using quantum kernels in a radial basis function network
Emily Micklethwaite, Adam Lowe
Closed-Loop Phase-Coherence Compensation for Superconducting Qubits Integrated Computational and Hardware Validation of the Aurora Method
Futoshi Hamanoue
Coalition of explainable artificial intelligence and quantum computing in precision medicine
Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay
Coherence Fraction in Grover Search Algorithm
Si-Qi Zhou, Hai Jin, Jin-Min Liang, Shao-Ming Fei, Yunlong Xiao, Zhihao Ma
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