Quantum Machine Learning
248 papers for year 2022
Showing 49-60 of 248
Communication-efficient Quantum Algorithm for Distributed Machine Learning
Hao Tang, Boning Li, Guoqing Wang, Haowei Xu, Changhao Li, Ariel Barr, Paola Cappellaro, Ju Li
Conductance-Aware Quantization Based on Minimum Error Substitution for Non-Linear-Conductance-State Tolerance in Neural Computing Systems
Chenglong Huang, Nuo Xu, Wenqing Wang, Yihong Hu, Liang Fang
Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer.
Niroula P, Shaydulin R, Yalovetzky R, Minssen P, Herman D, Hu S, Pistoia M.
Conventions for Quantum Pseudocode
E. Knill
Cutting Medusa's Path -- Tackling Kill-Chains with Quantum Computing
Mark Carney
Data reconstruction based on quantum neural networks
Ming-Ming Wang, Yi-Da Jiang
Depth-First Grover Search Algorithm on Hybrid Quantum-Classical Computer
Haoxiang Guo
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
Ruilin Liu, Sebastián V. Romero, Izaskun Oregi, Eneko Osaba, Esther Villar-Rodriguez, Yue Ban
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States.
Liu R, V Romero S, Oregi I, Osaba E, Villar-Rodriguez E, Ban Y.
Digital quantum simulation of an extended Agassi model: Using machine learning to disentangle its phase-diagram
Álvaro Sáiz, José-Enrique García-Ramos, José Miguel Arias, Lucas Lamata, Pedro Pérez-Fernández
Digital Quantum Simulation of the Spin-Boson Model under Markovian Open-System Dynamics.
Burger A, Kwek LC, Poletti D.
Dimensionality reduction with variational encoders based on subsystem purification
Raja Selvarajan, Manas Sajjan, Travis S. Humble, Sabre Kais