Adaptive Quantum State Geometry Constraints

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces an adaptive quantum state geometry constraint framework based on quantum entanglement, enabling controlled quantum state evolution and optimization of quantum device performance. Traditional approaches to quantum control often rely on fixed parameters, limiting the system's adaptability. We propose a novel approach that dynamically adjusts geometric constraints to maintain a specific quantum state, achieving self-optimized control. The framework leverages entanglement to introduce subtle, localized distortions to the quantum state, which are then controlled by a feedback algorithm. This allows for a level of adaptability exceeding current limitations, potentially leading to significant improvements in quantum device performance. We present a theoretical analysis of the algorithm's convergence and discuss the implications for future research and practical applications.

DOI: 10.5281/zenodo.22192077

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