Open AccessBenchmarking of Adiabatic Quantum Computation models to predict the structure of proteins
Author(s) -
Alán Anaya,
Francisco Delgado
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1391/1/012016
Subject(s) - adiabatic process , computation , benchmarking , quantum , quantum computer , computer science , adiabatic quantum computation , algorithm , statistical physics , theoretical computer science , physics , quantum mechanics , marketing , business
Proteins’ structure is a challenge in bioinformatics. We revisit the Hidrophobic-Polar (HP) model for Quantum Adiabatic Computation (AQC) formalizing its modeling, together an analysis about its unfeasibility in classical simulation versus quantum processing.