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 961-972 of 4,009
Quantum entanglement provides a competitive advantage in adversarial games
Peiyong Wang, Kieran Hymas, James Quach
Quantum Error Correction and Detection for Quantum Machine Learning
Eromanga Adermann, Haiyue Kang, Martin Sevior, Muhammad Usman
Quantum Extreme Reservoir Computing for Phase Classification of Polymer Alloy Microstructures
Arisa Ikeda, Akitada Sakurai, Kae Nemoto, Mayu Muramatsu
Quantum Feature Pyramid Gating for Seismic Image Segmentation
Taha Gharaibeh, Jyotsna Sharma
Quantum federated reinforcement learning-based energy efficiency optimization for IRS-assisted underlaying UAV communication
Haneef Khan, Neeraj Joshi, Abdoh Jabbari, Hussein Zangoti, Hussien T. Alrakah, Ishan Budhiraja
Quantum federated reinforcement learning-based resource allocation scheme for digital twin-aided D2D groups with NOMA in 6G networks
Haneef Khan, Ishan Budhiraja, Atul Kumar Srivastava
Quantum feedback control of a two-atom network closed by a semi-infinite waveguide
Haijin Ding, Guofeng Zhang, Mu-Tian Cheng, Guoqing Cai
Quantum Fuzzy Sets Revisited: Density Matrices, Decoherence, and the Q-Matrix Framework
Mirco A. Mannucci
Quantum Gasp Codes for Private Distributed Matrix Multiplication
Mohamed Nomeir, Alptug Aytekin, Lei Hu, Sennur Ulukus
Quantum Gatekeeper: Multi-Factor Context-Bound Image Steganography with VQC Based Key Derivation on Quantum Hardware
Sahil Tomar, Sandeep Kumar
Quantum generative dynamic graph attention adversarial network for early detection of breast cancer using histopathology images
L.R. Sujithra, K. Padmanaban, Laxman Singh, Loganathan Guganathan
Quantum Generator Kernels
Philipp Altmann, Maximilian Mansky, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien