Quantum Information Encoding Geometry Optimization

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum information encoding is a fundamental challenge in the development of quantum technologies. Efficient and secure encoding is crucial for realizing practical quantum computation and communication. This paper introduces a novel approach to quantum information encoding based on geometric optimization algorithms. We propose a new framework that systematically optimizes the parameters of a quantum system to minimize errors and maximize fidelity, offering a significant advancement over existing methods. The core mechanism leverages geometric optimization to dynamically adjust the system's state, thereby enhancing the robustness of the encoded information. We demonstrate the effectiveness of this approach through simulations and analysis, showcasing significant improvements in error rate reduction and fidelity compared to traditional encoding techniques. The research explores the interplay between geometric optimization and quantum system design, providing a promising path toward more reliable and efficient quantum information processing.

DOI: 10.5281/zenodo.22620071

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