Open AccessUsing the Energy Distribution as a Benchmarking Among Models for Adiabatic Quantum Processing in the Protein Folding Problem
Author(s) -
Alán Anaya,
Francisco Delgado
Publication year - 2020
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 - 10.1088/1742-6596/1540/1/012032
Subject(s) - hamiltonian (control theory) , adiabatic process , ising model , statistical physics , quantum , ab initio , adiabatic quantum computation , quantum annealing , benchmark (surveying) , protein folding , physics , benchmarking , computer science , quantum mechanics , theoretical physics , mathematics , quantum algorithm , mathematical optimization , quantum computer , geodesy , nuclear magnetic resonance , geography , business , marketing
Determining the tertiary complexity of proteins using ab-initio algorithms is a hard problem. Adiabatic Quantum Computing allows to construct simple Ising-like Hamiltonians in order to elucidate the aminoacid interactions minimizing the conformation energy of the protein. Exploring the energy distribution of the Hamiltonian allows to compare the efficiency of different models there proposed. This article compare the efficiency of two algorithms through the conformation energy of a protein stating a benchmark through the energy distributions of the conformation states.