多体量子态的自适应映射

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel computational framework based on adaptive mapping of multi-particle quantum states. The framework aims to extract specific features from high-dimensional quantum states and dynamically map these states, offering enhanced control and adaptability compared to traditional quantum algorithms. The core mechanism leverages quantum state self-adaptation to identify and manipulate key characteristics of the states. We present a theoretical framework and preliminary implementation demonstrating the framework's efficacy in extracting specific features from complex quantum states and performing automated adjustments. This work represents a significant step toward dynamic quantum state manipulation, opening up new possibilities for quantum algorithm design and exploration.

DOI: 10.5281/zenodo.22292586

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