基于自适应的量子态的自适应计算

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computation, termed "Adaptive Quantum State Computation," leveraging the principles of self-adaptation to quantum states. Traditional quantum computation relies on fixed parameters, limiting the computational possibilities. This work proposes a method that dynamically adjusts quantum state parameters during computation, enabling efficient and precise results. The core mechanism centers around a self-tuning process, achieved through a feedback loop that optimizes the quantum state based on the problem's characteristics. This contrasts with existing static approaches and offers a promising path toward more versatile and powerful quantum algorithms. The paper details the design of this adaptive approach, including the mathematical framework and implementation considerations. We demonstrate the effectiveness of this method through theoretical analysis and preliminary simulations, highlighting its potential for significant advancements in quantum computation.

DOI: 10.5281/zenodo.22263692

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