Quantum Machine Learning
9 papers for year 2026 from DOAJ
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 1-9 of 9
A Systematic Literature Review on Modern Cryptographic and Authentication Schemes for Securing the Internet of Things
Tehseen Hussain, Fraz Ahmad, Dr. Zia Ur Rehman
Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun
Canonical quantization of a memristive leaky integrate-and-fire neuron circuit
Dean Brand, Domenica Dibenedetto, Francesco Petruccione
Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
Nayeli A. Rodríguez-Briones, Daniel K. Park
Multimodal Phase-Space Dynamics Fusion for Robust Ischemia Screening: An Edge-AI Paradigm with SERF Magnetocardiography
Keyi Li, Xiangyang Zhou, Yifan Jia, Ruizhe Wang, Yidi Cao, Jiaojiao Pang, Rui Shang, Yadan Zhang, Yangyang Cui, Dong Xu, Min Xiang
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
Akash Kundu, Leopoldo Sarra
Robust Control of Twin-Rotor MIMO Systems Under Unmodeled Dynamics: Comparative Experimental Validation of Hybrid BSMC and Online QBHO Strategies
Abderrahmane Kacimi, Azeddine Beloufa, Souaad Tahraoui, Abderrahmane Senoussaoui, Mehdi Houari Zaid, Abdelbasset Azzouz, Jun-Jiat Tiang
Software Defect Prediction With Quantum-Inspired Feature Selection
Mohammad Salah Uddin
Sota Voce: Low-Noise Sampling of Sparse Fixed-Weight Vectors
Décio Luiz Gazzoni Filho, Gora Adj, Slim Bettaieb, Alessandro Budroni, Jorge Chávez-Saab, Francisco Rodríguez-Henríquez