自适应量子计算的张量表示优化算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum computation optimization algorithm based on adaptive quantum computation. We propose a framework that dynamically adjusts the quantum state representation to align with the specific characteristics of the underlying hardware, aiming to enhance quantum computation efficiency and accuracy. The algorithm leverages the unique properties of quantum systems and employs an adaptive optimization strategy to achieve this goal. The core mechanism centers around a self-tuning parameterization of the quantum state, allowing the algorithm to respond to variations in hardware performance and dynamically optimize the state. The research explores the potential of this approach to overcome limitations of existing quantum algorithms and improve their practical applicability. The paper details the design of the algorithm, its performance evaluation against established quantum algorithms, and potential future directions.

DOI: 10.5281/zenodo.22294521

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