Construction of Model Hamiltonians for Adiabatic Quantum Computation and its Application to Finding Low-Energy Conformations of Lattice Protein Models

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Construction of Model Hamiltonians for Adiabatic Quantum Computation and its Application to Finding Low-Energy Conformations of Lattice Protein Models

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Title: Construction of Model Hamiltonians for Adiabatic Quantum Computation and its Application to Finding Low-Energy Conformations of Lattice Protein Models
Author: Perdomo, Alejandro; Truncik, Colin; Tubert-Brohman, Ivan; Rose, Geordie; Aspuru-Guzik, Alan

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Citation: Perdomo, Alejandro, Colin Truncik, Ivan Tubert-Brohman, Geordie Rose, and Alan Aspuru-Guzik. 2008. Construction of model Hamiltonians for adiabatic quantum computation and its application to finding low-energy conformations of lattice protein models. Physical Review A 78(1): 012320.
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Abstract: In this paper we explore the use of a quantum optimization algorithm for obtaining low-energy conformations of protein models. We discuss mappings between protein models and optimization variables, which are in turn mapped to a system of coupled quantum bits. General strategies are given for constructing Hamiltonians to be used to solve optimization problems of physical, chemical, or biological interest via quantum computation by adiabatic evolution. As an example, we implement the Hamiltonian corresponding to the hydrophobic-polar model for protein folding. Furthermore, we present an approach to reduce the resulting Hamiltonian to two-body terms gearing toward an experimental realization.
Published Version: doi: 10.1103/PhysRevA.78.012320
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4685196
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