Quantum Coherence Draining for Program Privacy Protection
Jincheng Zhang
Abstract
This paper proposes a novel approach to program privacy protection utilizing the principles of quantum coherence draining. Traditional methods relying on symmetric encryption often prove insufficient against sophisticated attacks. Our technique leverages the inherent randomness of quantum decoherence to obfuscate and conceal sensitive information within program code. Specifically, we introduce a process where program instructions are subjected to controlled decoherence events, effectively disrupting any attempt to reconstruct the original code or extract hidden data. The core claim is that by exploiting quantum decoherence's properties, program privacy can be achieved, preventing malicious actors from accessing sensitive information. The mechanism relies on the random nature of decoherence to perform encryption and obfuscation, hiding sensitive data. This approach offers a potentially more robust solution than conventional methods, particularly against attacks that target cryptographic vulnerabilities. We present a theoretical framework for this technique and outline its potential applications. ---