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Quantum State Mapping Optimization

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

Quantum State Mapping Optimization is a novel approach to system optimization utilizing the unique properties of quantum states. This paper introduces a novel algorithm predicated on the principles of quantum state superposition and entanglement, designed to transform complex systems into simpler, more efficient quantum states. The core mechanism centers around a quantum state mapping model, which is optimized through iterative processes that leverage these fundamental quantum phenomena. This approach promises significant advancements in computational efficiency and performance, particularly in scenarios involving large, intricate systems. The paper details the theoretical framework, algorithm implementation, and preliminary experimental results demonstrating the effectiveness of the method.

DOI
10.5281/zenodo.22325859

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Quantum State Mapping Optimization is a novel approach to system optimization utilizing the unique properties of quantum states. This paper introduces a novel algorithm predicated on the principles of quantum state superposition and entanglement, designed to transform complex systems into simpler, more efficient quantum states. The core mechanism centers around a quantum state mapping model, which is optimized through iterative processes that leverage these fundamental quantum phenomena. This approach promises significant advancements in computational efficiency and performance, particularly in scenarios involving large, intricate systems. The paper details the theoretical framework, algorithm implementation, and preliminary experimental results demonstrating the effectiveness of the method.
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