Dimension Reduction of Chaos Fields and Quantum Computation Integration

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the integration of dimension reduction techniques, specifically focusing on chaotic field theory, with quantum computation. We propose a novel framework predicated on the inherent properties of chaotic systems, leveraging quantum computation's parallel processing capabilities to accelerate the analysis of complex dynamical behavior. The core mechanism involves applying chaos-driven self-organization to quantum systems, utilizing quantum simulation tools to efficiently model and optimize quantum algorithms. The research aims to identify new quantum algorithms and provide a robust method for simulating and analyzing complex quantum systems, ultimately addressing key challenges in quantum computing.

DOI: 10.5281/zenodo.22192402

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