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 1477-1488 of 4,009

Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components

Javier Lazaro, Juan-Ignacio Vazquez, Pablo Garcia-Bringas

2025 arXiv arXiv preprint

Divide-et-impera Heuristic-based Randomized Search for the Qubit Routing Problem

Marco Baioletti, Fabrizio Fagiolo, Angelo Oddi, Riccardo Rasconi

2025 arXiv arXiv preprint

Domain-Aware Quantum Circuit for QML

Gurinder Singh, Thaddeus Pellegrini, Kenneth M. Merz,

2025 arXiv arXiv preprint

Dual-Qubit Hierarchical Fuzzy Neural Network for Image Classification: Enabling Relational Learning via Quantum Entanglement

Wenwei Zhang, Jintao Wang, Tianyu Ye, Changgeng Liao

2025 arXiv arXiv preprint

DyLoC: A Dual-Layer Architecture for Secure and Trainable Quantum Machine Learning Under Polynomial-DLA constraint

Chenyi Zhang, Tao Shang, Chao Guo, Ruohan He

2025 arXiv arXiv preprint

Earth TwinOps: Geospatial AI and Quantum Optimization for Climate-Resilient Cities and Grids

Murali Krishna Pasupuleti

2025 Crossref International Journal of Academic and Industrial Research Innovations(IJAIRI)

Efficient and Robust Spatial-to-Fiber Coupling forMultimode Quantum Networks via CascadedAdaptive Feedback Control

Ya Li, WanRu Wang, Weizhe Qiao, Qizhou Wu, Changqing Niu, Xiaolong Zou, Youxing Chen, Xin Guo

2025 arXiv arXiv preprint

Efficient Preparation of Quantum States via Randomized Truncation

Yue Wang, Xiao-Ming Zhang, Xiao Yuan, Qi Zhao

2025 arXiv arXiv preprint

Efficient Quantum State Preparation with Bucket Brigade QRAM

Alessandro Berti, Francesco Ghisoni

2025 arXiv arXiv preprint

Empirical Quantum Advantage in Constrained Optimization from Encoded Unitary Designs

Chinonso Onah, Roman Firt, Kristel Michielsen

2025 arXiv arXiv preprint

EMU circulation planning for Silesian Railways: case study and a quantum approach

Ewa Kędziera, Wojciech Gamon, Mátyás Koniorczyk, Zakaria Mzaouali, Andrea Galadíková, Krzysztof Domino

2025 arXiv arXiv preprint

Enabling Shortwave-QKD in Short-Reach Networks: Impact of a Composite ODN Native to Telecom Applications

Mariana F. Ramos, Costin Luchian, Michael Hentschel, Florian Honz, Marie-Christine Slater, Hannes Hübel, Bernhard Schrenk

2025 arXiv arXiv preprint