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 1-12 of 486
) Quantum-Federated Learning: A review of frameworks and applications for Sustainable Development Goals (SDGs)
Gaurav Kumar, Pushpendra Kumar Verma
$\ell$-Multiranks of Multipartite Quantum States via Tensor Flattening: A Mathematica Codebase
Masoud Gharahi
2025 Quantum Diamond Workshop Findings Report
Danielle A. Braje, Matthew L. Markham, Jennifer M. Schloss, Michael A. Slocum, Ronald L. Walsworth
A Comparative Study of Classical and Post-Quantum Key Establishment: RSA vs. CRYSTALS–Kyber (ML-KEM)
Dr. S. Gunasekaran
A Comparative Study of Encoding Strategies for Quantum Convolutional Neural Networks
Xingyun Feng
A Comparative Study of Post-Quantum Cryptographic Algorithms Assessing Security and Performance Trade-offs
Mohammed Hasan Al-Dulaimi, Suha Kamal Al-Dulaimi
A Compilation Framework for Quantum Circuits with Mid-Circuit Measurement Error Awareness
Ming Zhong, Zhemin Zhang, Xiangyu Ren, Chenghong Zhu, Siyuan Niu, Zhiding Liang
A DECADE OF STUDIES ON SUSTAINABLE TEXTILES: TRENDS AND FUTURE EDUCATIONAL DIRECTIONS
RAINAL HIDAYAT WARDI, RAHMAN ROSMAN, KHAIRI KHALID
A Full Stack Framework for High Performance Quantum-Classical Computing
Xin Zhan, K. Grace Johnson, Aniello Esposito, Barbara Chapman, Marco Fiorentino, Kirk M. Bresniker, Raymond G. Beausoleil, Masoud Mohseni
A Gateway to Quantum Computing for Industrial Engineering
Emily L. Tucker, Mohammadhossein Mohammadisiahroudi
A General Framework for Constructing Local Hidden-state Models to Determine the Steerability
Yanning Jia, Fenzhuo Guo, Mengyan Li, Haifeng Dong, Fei Gao
A Hidden Quantum Markov model framework for Entanglement and Topological Order in the AKLT Chain
Abdessatar Souissi, Amenallah Andolsi