Self-Adaptive Quantum State Encoding and Expansion

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the potential of self-adaptive quantum state encoding and expansion techniques to significantly enhance quantum computation. The core focus is on leveraging quantum entanglement and quantum information theory to dynamically modify and expand quantum states, addressing limitations of traditional approaches. We propose a novel method that dynamically adjusts the quantum state to optimize performance and explore new computational pathways. The paper details the underlying principles, introduces a key mechanism for state modification, and outlines the potential benefits of this approach. Furthermore, a comprehensive analysis of the theoretical and potential practical implications is presented. The research aims to contribute to the advancement of quantum computing by providing a framework for more versatile and powerful quantum systems.

DOI: 10.5281/zenodo.22300898

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