基于自适应量子势场的自适应计算

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computation leveraging an adaptive quantum field. The core idea is to dynamically adjust the parameters governing a quantum field, allowing for an inherently self-adaptive computation system. We propose a method that employs a feedback loop, iteratively refining the field's characteristics based on observed results and a predefined optimization strategy. This iterative process leads to enhanced computational efficiency and precision compared to static, pre-defined quantum field models. The study focuses on demonstrating the benefits of this adaptive approach through simulations and preliminary experimental validation, highlighting its potential to revolutionize quantum algorithm design. The results emphasize the significant improvements in both computational speed and accuracy attainable through this self-optimizing framework.

DOI: 10.5281/zenodo.22263672

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