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 1369-1380 of 4,009
Zeno-Enhanced Probabilistic Error Cancellation with Quantum Error Detection Codes
Yi Yuan, Yuanchen Zhao, Dong E. Liu
Zygmunt Zawirski: The forgotten forefather of quantum logic.
Drozdowska E
) 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