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 277-288 of 486
Optoelectronic Neuromorphic Logic Using Quantum-Dot Cellular Automata (QCA) and Plasmonic Synapses: A Drude Model-Based Approach
Sachindeb Jana, Kisalaya Chakrabarti, Angsuman Sarkar
Overshifted Parameter-Shift Rules: Optimizing Complex Quantum Systems with Few Measurements
Leonardo Banchi, Dominic Branford, Chetan Waghela
Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification
Ece Yurtseven
Pattern Recognition with Artificial Intelligence in Space Experiments
Federica Cuna, Maria Bossa, Fabio Gargano, Mario Nicola Mazziotta
Penerapan Teknik Steganografi Teks pada Format File PDF
Calvin Silaen, Frans Panjaitan, Marihot Tambunan
Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks
Tomás Villalba-Ferreiro, Eduardo Mosqueira-Rey, Diego Alvarez-Estevez
Performance Guarantees for Quantum Neural Estimation of Entropies
Sreejith Sreekumar, Ziv Goldfeld, Mark M. Wilde
Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches
Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif
PERM EQ x GRAPH EQ: Equivariant Neural Networks for Quantum Molecular Learning
Saumya Biswas, Jiten Oswal
Personalization in Customer Relationship Management : Balancing Data Privacy and Customer Experience
Muhammad Hanif Zahran, Muhammad Hibban Mikhail, Muharman Lubis
Phase estimation algorithms for quantum enhanced magnetometry with artificial atoms.
Slepnev V, Gubaydullin A, Vinokur V.
Photonic Quantum-Accelerated Machine Learning
Markus Rambach, Abhishek Roy, Alexei Gilchrist, Akitada Sakurai, William J. Munro, Kae Nemoto, Andrew G. White