Oscar Wallis, Stefano Mensa, et al.
QCE 2025
Lattice models or structures are geometrical objects with mathematical forms, that are used to represent physical systems. They have been used widely in diverse fields, namely, in condensed matter physics, to study degrees of freedom of molecules in chemistry and in studying polymer dynamics and protein structures to name a few. In this article we discuss an encoding methodology of lattice structures in computational basis states of qubits (as used in quantum computing algorithms). We demonstrate a specific use case of lattice models in protein structure prediction. We do not propose any quantum algorithm to solve the protein structure prediction problem, instead, we propose a generic encoding methodology of lattice structures.
Oscar Wallis, Stefano Mensa, et al.
QCE 2025
Simon Hönl, Youri Popoff, et al.
CLEO_SI 2020
Alexey Galda, Elica Kyoseva, et al.
QCE 2024
Pauline Jeanne Ollitrault, Alberto Baiardi, et al.
ACS Spring 2021