Quantum Machine Learning
416 papers for year 2023
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 289-300 of 416
Quantum Secure Protocols for Multiparty Computations
Tapaswini Mohanty, Vikas Srivastava, Sumit Kumar Debnath, Pantelimon Stanica
Quantum sequential scattering model for quantum state learning
Mingrui Jing, Geng Liu, Hongbin Ren, Xin Wang
Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
Bhargav Ganguly, Yang Xu, Vaneet Aggarwal
Quantum State Reconstruction Through Online Shadow Tomography: Theoretical Framework and Simulation Results
Rashedul Islam Seum, Md Nirab Hossain, Jenia Fardousi Koly, Md Showkat Ali, Nur Mohammad Salem
Quantum State Tomography using Quantum Machine Learning
Nouhaila Innan, Owais Ishtiaq Siddiqui, Shivang Arora, Tamojit Ghosh, Yasemin Poyraz Koçak, Dominic Paragas, Abdullah Al Omar Galib, Muhammad Al-Zafar Khan, Mohamed Bennai
Quantum support vector data description for anomaly detection
Hyeondo Oh, Daniel K. Park
Quantum Symmetric Private Information Retrieval with Secure Storage and Eavesdroppers
Alptug Aytekin, Mohamed Nomeir, Sajani Vithana, Sennur Ulukus
Quantum Teleportation Using Artificial Wormhole: A Mini Review
Piyush Tailor, Harshita Singh, Ruby Priya
Quantum Time Series Similarity Measures and Quantum Temporal Kernels
Vanio Markov, Vladimir Rastunkov, Daniel Fry
Quantum Voting and Violation of Gibbard-Satterthwaite's Impossibility Theorem
Ethan Dickey, Aidan Casey
Quantum-AI empowered Intelligent Surveillance: Advancing Public Safety Through Innovative Contraband Detection
Syed Atif Ali Shah, Nasir Algeelani, Najeeb Al-Sammarraie
Quantum-Enhanced Graph Analytics: A Hybrid AI Framework for Seller Fraud Detection in Online Marketplaces
Postdoctoral Fellow, Center for Quantum Neural Networks, Harvard University, Laura Thompson