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 13-24 of 486
A High-Dimensional Quantum Blockchain Protocol Based on Time- Entanglement
Aktaş, Arzu, Yılmaz, İhsan
A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
Abu Kaisar Mohammad Masum, Naveed Mahmud, M. Hassan Najafi, Sercan Aygun
A Hybrid Quantum Solver for Gaussian Process Regression
Kerem Bükrü, Steffen Leger, M. Lautaro Hickmann, Hans-Martin Rieser, Ralf Sturm, Tjark Siefkes
A hybrid quantum walk model unifying discrete and continuous quantum walks
Tianen Chen, Yun Shang
A Joint Quantum Computing, Neural Network and Embedding Theory Approach for the Derivation of the Universal Functional
Martin J. Uttendorfer, Daniel Barragan-Yani, Matthias Sperl, Marc Landmann
A low-circuit-depth quantum computing approach to the nuclear shell model
Stevenson P, Sarma C.
A Mutual Information-based Metric for Temporal Expressivity and Trainability Estimation in Quantum Policy Gradient Pipelines
Jaehun Jeong, Donghwa Ji, Junghee Ryu, Kabgyun Jeong
A Note on Publicly Verifiable Quantum Money with Low Quantum Computational Resources
Fabrizio Genovese, Lev Stambler
A novel quantum realization of jet clustering in high-energy physics experiments.
Zhu Y, Zhuang W, Qian C, Ma Y, Liu DE, Ruan M, Zhou C
A Platform for Evanescently Trapping Rb-87 Using Silicon Nitride Strip Waveguides Buried in Silica
Sam J. Harding, Carrie Weidner
A Primer on Quantum Machine Learning
Su Yeon Chang, M. Cerezo
A quantum machine learning-based predictive analysis of CERN collision events.
Tripathi S, Upadhyay H, Soni J.