Quantum Machine Learning
659 papers from Crossref
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 25-36 of 659
A Robustness-Oriented Quantum–Classical Hybrid Machine Learning Pipeline for Breast Cancer Diagnosis: External Validation, Explainability, and Rigorous Benchmarking in the NISQ Era
Gokhan Zorlu, Cemil Colak
A systematic exploration of quantum software engineering in the NISQ era: Methods, lifecycle practices, and a taxonomy of challenges
Mir Mohammad Yousuf, Shabir Ahmad Sofi
A systematic literature review of quantum machine learning for medical: trends, datasets, topics, and methods
Agustinus Eko Setiawan, Supriadi Rustad, Abdul Syukur, Moch Arief Soeleman, Guruh Fajar Shidik, Ifran Lindu Mahargya, Muhamad Akrom, Andreas Wilson Setiawan
A WAQF-DRIVEN NOT-FOR-PROFIT FOOD SERVICE MODEL FOR SUPPORTING MALAYSIA’S B40 COMMUNITY
MOHAMED ASLAM AKBAR, AZIDAH AHMAD ZAKI
ACFlow 2.0 : An open source toolkit for analytic continuation of quantum Monte Carlo data
Li Huang
Adaptive AI-Driven Post-Quantum Cyber Defense Framework for Enterprise and Government Information Systems
N. Chaudhari Dr. Yogesh, M. Koshti Shubham, N. Waghulde Dr. Dhanpal, B. Patil Harshal, A. Patil Sneha
Adaptive quantum differential evolution with experience-guided learning for integrated production and collaborative mobile robot scheduling
Qingsong Fan, Liang Gao, Xinyu Li, Chunjiang Zhang, Qihao Liu
Adaptive Tangent Homomorphic Encryption with Equivariant Quantum Neural Networks for Secure Data Transmission Routing in MANET
V. Ravi Kumar, Prasada Reddy. M. M., B. Nancharaiah
Addressing the minor-embedding problem in quantum annealing and evaluating state-of-the-art algorithm performance
Aitor Gómez-Tejedor, Eneko Osaba, Esther Villar-Rodriguez
Advanced renewable electric vehicle charging system with optimized internet of things communication and quantum-secure data integrity
V. Balaji, S. Prayla Shyry, K.C. Prabu Shankar, M. Hema
Advances and Challenges in the Integration of Quantum Computing in Artificial Intelligence: A Systematic Review
Yesenia del Rosario Vásquez Valencia, Alvaro Nilmer Sumaran Flores, Jean Pieer Salcedo Huarez, Joaquín Alberto Carbajal Palomino, Francisco Manuel Hilario Falcon, Omar Perez Huaman, Liliana Bayona Castañeda
Advances in quantum genetic algorithms
D. Lima, R. Saini, S. Al-Kuwari