Quantum Key Distribution Based Privacy Computation Protocol
Jincheng Zhang
Abstract
This paper presents a novel privacy computation protocol leveraging Quantum Key Distribution (QKD) for enhanced data privacy. The core idea is to utilize the principles of QKD to generate a shared secret key, which is then employed to perform computations on encrypted data, ensuring the confidentiality of the results. This approach addresses the fundamental challenge of traditional computation, where data is vulnerable to interception and manipulation during processing. The protocol details the key management process, the encryption/decryption scheme based on QKD, and the computation steps undertaken using the shared key. The proposed system offers a significant advancement in privacy-preserving computation, particularly in scenarios where data sensitivity is paramount. The design focuses on minimizing the computational overhead associated with QKD while maximizing the level of privacy protection. This work lays the groundwork for future research and development in privacy-preserving quantum computing and communication.