Quantum Entanglement Adaptive Geometry Mapping

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, possesses remarkable properties that hold immense potential for revolutionizing information processing. This paper explores the concept of a novel quantum entanglement geometry mapping – a system capable of dynamically adjusting quantum state properties in response to environmental changes, offering a pathway towards optimized quantum information handling. We introduce a new parameter set, designated as "modulations," which govern the entanglement's evolution and dynamically adjusts the quantum state to achieve desired outcomes. This approach, distinct from existing quantum algorithms, focuses on the fundamental properties of entanglement, presenting a significant advancement in the field. The core claim is that this self-adaptive geometry mapping can be used to achieve enhanced quantum information processing through robust and responsive entanglement dynamics.

DOI: 10.5281/zenodo.22203920

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