Quantum Information Encryption: A Geometric Optimization Approach

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum information cryptography stands as a critical field, demanding robust and adaptable security measures against evolving computational threats. Traditional cryptographic methods often rely on complex mathematical algorithms, presenting vulnerabilities to sophisticated attacks. This paper proposes a novel approach leveraging geometric optimization to design a quantum information encryption scheme, aiming for enhanced security and efficiency. The core mechanism centers on employing geometric optimization algorithms to create a layered encryption system that offers improved key distribution and communication capabilities. The research explores the potential of this approach to address current limitations in quantum cryptography and paves the way for a more secure and adaptable cryptographic paradigm. We present a preliminary analysis demonstrating the efficacy of this method through simulated scenarios and outline future research directions focusing on scalability and practical implementation.

DOI: 10.5281/zenodo.22322216

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