Quantum Information Modulation: Adaptive Geometry Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Information Modulation (QIM) offers a promising approach to enhance quantum computation through dynamic adjustment of quantum states. This paper investigates the application of QIM to optimize quantum information processing, specifically focusing on achieving more efficient quantum communication. We introduce a novel self-adaptive geometric optimization strategy, leveraging the inherent properties of quantum information modulation to dynamically adjust qubit states and improve the performance of quantum algorithms. This system demonstrates the potential for significant advancements in quantum communication and computation. The core mechanism involves the controlled evolution of quantum states through instantaneous shifts, allowing for optimized performance in complex scenarios. This approach overcomes limitations of traditional optimization techniques, offering a pathway towards more robust and efficient quantum systems.

DOI: 10.5281/zenodo.22273296

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