Using the Energy Distribution as a Benchmarking Among Models for Adiabatic Quantum Processing in the Protein Folding Problem

Abstract

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.