Title: Contextualized Quantum Simulation with Dynamic Parameter Adjustment

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum simulation is a crucial tool for understanding complex quantum systems, but its implementation often faces challenges related to computational cost and accuracy. Static simulation methods struggle to adapt to the intricacies of the simulation, limiting fidelity and efficiency. This paper introduces a novel contextualized quantum simulation framework that dynamically adjusts the simulation parameters based on observed data. We propose an adaptive parameter tuning scheme leveraging statistical properties of the simulation's trajectory and progress. This approach significantly enhances the fidelity and efficiency of quantum simulations compared to traditional static methods, offering a pathway towards more powerful and practical quantum computations.

DOI: 10.5281/zenodo.22610301

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