Quantum Machine Learning
16 papers for year 2022 from Europe PMC
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 1-12 of 16
A hierarchical approach for building distributed quantum systems.
Davarzani Z, Zomorodi M, Houshmand M.
A Novel QKD Approach to Enhance IIOT Privacy and Computational Knacks.
Singamaneni KK, Dhiman G, Juneja S, Muhammad G, AlQahtani SA, Zaki J.
An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy.
Shamshad S, Riaz F, Riaz R, Rizvi SS, Abdulla S.
Binary Classification Quantum Neural Network Model Based on Optimized Grover Algorithm.
Zhao W, Wang Y, Qu Y, Ma H, Wang S.
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.
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 the Spin-Boson Model under Markovian Open-System Dynamics.
Burger A, Kwek LC, Poletti D.
Emergency shelter allocation planning technology for large-scale evacuation based on quantum genetic algorithm.
Yin Y, Zhao X, Lv W.
Faster Quantum State Decomposition with Tucker Tensor Approximation
Protasov S, Lisnichenko M.
HCQC: Hybrid Classical -Quantum -Classical Transfer Learning Method for COVID-19 Detection
Rao GVE, B R, Chalumuri A, Shukla M.
Hybrid classical-quantum machine learning based on dissipative two-qubit channels.
Ghasemian E, Tavassoly MK.
Implementation of Quantum Algorithms via Fast Three-Rydberg-Atom CCZ Gates.
Tang S, Yang C, Li D, Shao X.