Quantum Machine Learning
416 papers for year 2023
Showing 25-36 of 416
A pragma based C++ framework for hybrid quantum/classical computation
Arnaud Gazda, Oceane Koska
A proposal to characterize and quantify superoscillations
Yu Li, José Polo-Gómez, Eduardo Martín-Martínez
A Quadratic Sample Complexity Reduction for Agnostic Learning via Quantum Algorithms
Daniel Z. Zanger
A Quantum Federated Learning Framework for Classical Clients
Yanqi Song, Yusen Wu, Shengyao Wu, Dandan Li, Qiaoyan Wen, Sujuan Qin, Fei Gao
A quantum moving target segmentation algorithm for grayscale video
Wenjie Liu, Lu Wang, Qingshan Wu
A quantum segmentation algorithm based on local adaptive threshold for NEQR image
Lu Wang, Wenjie Liu
A quantum tug of war between randomness and symmetries on homogeneous spaces
Rahul Arvind, Kishor Bharti, Jun Yong Khoo, Dax Enshan Koh, Jian Feng Kong
A Review of the Applications of Quantum Machine Learning in Optical Communication Systems
Ark Modi, Alonso Viladomat Jasso, Roberto Ferrara, Christian Deppe, Janis Noetzel, Fred Fung, Maximilian Schaedler
A sublinear time quantum algorithm for longest common substring problem between run-length encoded strings
Tzu-Ching Lee, Han-Hsuan Lin
A Survey of Classical And Quantum Sequence Models
I-Chi Chen, Harshdeep Singh, V L Anukruti, Brian Quanz, Kavitha Yogaraj
A Survey of Machine Learning Assisted Continuous-Variable Quantum Key Distribution
Nathan K. Long, Robert Malaney, Kenneth J. Grant
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique