Geometric Information Theory Quantum Acceleration Computing (GITAC)

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces Geometric Information Theory Quantum Acceleration Computing (GITAC), a novel approach to quantum computation designed to significantly enhance the efficiency of geometric information theory (GIT) calculations. GIT, a foundational field in geometric data processing and compression, relies heavily on intricate mathematical operations and complex data structures. Traditional implementations often struggle with the computational demands associated with these operations, limiting their applicability to large datasets and demanding computational resources. GITAC leverages the unique properties of quantum information theory – specifically, entanglement and self-associativity – to accelerate these computations. The core mechanism involves utilizing quantum entanglement to expedite the transformation of geometric data, ultimately leading to improved data compression and processing speeds. We present a conceptual framework for GITAC, detailing the algorithm's key components and their potential impact on GIT calculations. This research explores the potential advantages of quantum acceleration in GIT, outlining a pathway to more efficient and scalable geometric data manipulation.

DOI: 10.5281/zenodo.22264108

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