Adaptive Optimization Algorithm for Quantum Entanglement Perception

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, promises revolutionary advancements in computation and information transfer. However, harnessing this phenomenon requires sophisticated control and manipulation, presenting significant challenges for algorithm design. This paper introduces a novel adaptive optimization algorithm designed to address these challenges, focusing specifically on the perception and manipulation of quantum entanglement. The algorithm leverages a dynamically evolving "quantum state intelligence" framework to continuously monitor and adjust quantum operations, achieving unprecedented precision and efficiency. We demonstrate its efficacy through rigorous simulations and preliminary experimental validation, highlighting its potential to unlock new capabilities in quantum information processing. The core mechanism centers around real-time state sensing and a novel optimization strategy inspired by the dynamics of quantum entanglement itself. This work represents a significant step towards building more robust and versatile quantum algorithms.

DOI: 10.5281/zenodo.22627566

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