  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.
