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Auteur principal: Dasgupta, Kalyan
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2406.01547
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author Dasgupta, Kalyan
author_facet Dasgupta, Kalyan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_01547
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Encoding lattice structures in Quantum Computational Basis States
Dasgupta, Kalyan
Quantum Physics
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.
title Encoding lattice structures in Quantum Computational Basis States
topic Quantum Physics
url https://arxiv.org/abs/2406.01547