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Quantum Material Design via Adaptive Lattice Mapping

Jincheng Zhang

Published Sep 6, 2026• 0 citations
Publisher

Abstract

Quantum material design presents a significant challenge due to the complexity of exploring the vast space of possible material structures. This paper introduces a novel approach – Adaptive Lattice Mapping – that leverages quantum algorithms to dynamically adjust the structure of quantum materials, enabling the efficient discovery of materials with tailored properties. The core mechanism involves a quantum optimization process that iteratively refines lattice configurations to achieve desired performance characteristics. This method offers a fundamentally new pathway for materials discovery, potentially accelerating the identification of materials with enhanced functionalities.

DOI
10.5281/zenodo.22513087

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Quantum material design presents a significant challenge due to the complexity of exploring the vast space of possible material structures. This paper introduces a novel approach – Adaptive Lattice Mapping – that leverages quantum algorithms to dynamically adjust the structure of quantum materials, enabling the efficient discovery of materials with tailored properties. The core mechanism involves a quantum optimization process that iteratively refines lattice configurations to achieve desired performance characteristics. This method offers a fundamentally new pathway for materials discovery, potentially accelerating the identification of materials with enhanced functionalities.
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