Based on Quantum State Reorganization for Computation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel computational model predicated on quantum state reorganization. The core idea centers around leveraging the inherent transformational properties of quantum states to achieve efficient computation. We present a detailed algorithmic design capable of precisely controlling the manipulation of quantum states through reorganization, ultimately enabling the execution of specified computational tasks. This approach represents a nascent quantum computing paradigm with substantial potential. The model aims to overcome limitations inherent in traditional quantum algorithms by offering a fundamentally different method for problem-solving. We explore the mathematical underpinnings of the proposed system, focusing on state vector representations, unitary transformations, and the principles of quantum state rearrangement. This work lays the groundwork for future research into this promising area, aiming for scalability and practical applications.

DOI: 10.5281/zenodo.22194533

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