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September 28, 2020
Conference Paper
Title

Problem Solving with Hopfield Networks and Adiabatic Quantum Computing

Abstract
Our goal with this paper is to elucidate the close connection between Hopfield networks and adiabatic quantum computing. Focusing on their use in problem solving, we point out that the energy functions minimized by Hopfield networks are essentially identical to those minimized by adiabatic quantum computers. To practically illustrate this, we consider a simple textbook problem, namely the k-rooks problem, and discuss how to set it up for solution via a Hopfield network or adiabatic quantum computing.
Author(s)
Bauckhage, Christian  
Sánchez, Ramsés J.
Uni Bonn
Sifa, Rafet  
Mainwork
International Joint Conference on Neural Networks, IJCNN 2020. Conference proceedings  
Project(s)
ML2R  
Funder
Bundesministerium für Bildung und Forschung -BMBF-
Conference
International Joint Conference on Neural Networks (IJCNN) 2020  
DOI
10.1109/IJCNN48605.2020.9206916
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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