Based on Adaptive Quantum Potential Calculation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel adaptive quantum potential calculation method, leveraging the unique properties of quantum potential calculations to optimize quantum computation performance and achieve more efficient results. Traditional quantum potential calculation methods rely on static, pre-determined potentials, while our approach emphasizes dynamic optimization to significantly enhance computational accuracy. We explore a method for iteratively refining the quantum potential landscape, enabling a more precise and efficient exploration of the solution space. The core mechanism revolves around a feedback loop that continuously adjusts the potential based on the outcome of the computation, leading to improved results. The proposed method offers a promising avenue for accelerating quantum algorithm development and improving the performance of existing quantum computations.

DOI: 10.5281/zenodo.22203176

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