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 1153-1164 of 4,009

Roblonski: A Material-Efficient Robo-Fluidic Toolbox for Rapid Photochemical Characterization.

Arshad A, Canty RB, Danilov EO, Abolhasani M, Castellano FN

2026 PubMed ACS central science

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

2026 DOAJ Actuators

Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation

Jesse Roberta Mingue Njiki, Nouhaila Innan, Alberto Marchisio, Muhammad Kashif, Jean-Michel Dricot, Muhammad Shafique

2026 arXiv arXiv preprint

Routine monitoring of microRNAs in salivary exosomes using a cellulose nanofiber sheet.

Ajiri T, Zhang M, Mizukami N, Iida M, Kawaguchi S, Sekihara Y, Chattrairat K, Zhu Z, Baba Y, Koga H, Yasui T

2026 PubMed Biosensors & bioelectronics

Run-length certificates in quantum learning: sample complexity and noise thresholds

Jeongho Bang

2026 arXiv arXiv preprint

Runtime Calibration as State-Trajectory Feedback Control in Quantum-Classical Workflows

Xiaolong Deng

2026 arXiv arXiv preprint

Sample-efficient quantum error mitigation via classical learning surrogates

Huang H, Liao W, Yan G, Song Y, Tian T, Zhu W, Jiang D, Du Y.

2026 Europe PMC Europe PMC

SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator

Jialiang Tang, Jialin Zhang, Xiaoming Sun

2026 arXiv arXiv preprint

Scalable Measurement-Based Quantum Simulation Patterns for Benchmarking

V. W. Scarola

2026 arXiv arXiv preprint

Scalable Memory Sharing in Photonic Quantum Memristors for Reservoir Computing

Chaehyeon Lim, Hyungchul Park, Beomjoon Chae, Jeonghun Kwak, Soo-Yeon Lee, Namkyoo Park, Sunkyu Yu

2026 arXiv arXiv preprint

Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation

Natansh Mathur, Panagiotis Kl. Barkoutsos, Masako Yamada, Martin Roetteler, Iordanis Kerenidis

2026 arXiv arXiv preprint

Scalable Quantum Molecular Generation via GPU-Accelerated Tensor-Network Simulation

Yu-Cheng Xiao, Jen-Yu Chang, Tzu-Ling Kuo, Aninda Astuti, Shu-Chi Wu, Ka-Lok Ng, Yun-Yuan Wang, Yu-Ze Chen, Nan-Yow Chen, Tai-Yu Li

2026 arXiv arXiv preprint