Quantum Machine Learning
248 papers for year 2022
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 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