A quantum-implementable neural network model

DOI10.1007/s11128-017-1692-xzbMath1387.81148OpenAlexW2749323781MaRDI QIDQ1702220

Edoardo Charbon, Lingli Wang, Jia-Lin Chen

Publication date: 28 February 2018

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11128-017-1692-x

zbMATH Keywords

feedforward neural networkIris and MNIST experimentsquantum neuronquantum probability neural network

Mathematics Subject Classification ID

Quantum computation (81P68) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (5)

Quantum speedup for pool-based active learning ⋮ Quantum speedup for solving the minimum vertex cover problem based on Grover search algorithm ⋮ Shallow hybrid quantum-classical convolutional neural network model for image classification ⋮ Quantum-enhanced feature selection with forward selection and backward elimination ⋮ A conditional generative model based on quantum circuit and classical optimization

Uses Software

• Matlab
• MNIST
• PMTK

Cites Work

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• The quest for a quantum neural network
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• Neural networks with quantum architecture and quantum learning
• A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem
• Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
• Iris Data Classification Using Quantum Neural Networks
• Understanding Machine Learning
• Quantum artificial neural network architectures and components
• Simulations of quantum neural networks

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