Title: Adaptive Topology for Quantum Simulation of Condensed Matter

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum simulation of condensed matter systems offers unprecedented insights into their behavior, but current methods often struggle to accurately represent the complex dynamics and intricate topologies. This paper introduces an adaptive topology framework for quantum simulation, aiming to overcome these limitations. We propose a novel algorithm that dynamically adjusts the topology of the quantum simulation space during the simulation process, guided by the system's dynamics. This adaptation significantly improves the representation of the underlying physics, leading to enhanced accuracy and robustness. The core mechanism leverages a feedback loop that continuously evaluates the topology and refines it to achieve optimal representation. This approach promises a significant advancement in quantum simulation capabilities, particularly for complex systems exhibiting intricate topologies.

DOI: 10.5281/zenodo.22199673

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