Quantum Material Design via Adaptive Lattice Mapping
Jincheng Zhang
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.