MIT Develops Quantum Security Protocol for Cloud-Based Deep Learning

The new protocol ensures data privacy during cloud computations by leveraging the quantum properties of light.

MIT researchers have created a security protocol that uses quantum mechanics to protect data during cloud-based deep learning computations.
The protocol encodes data into laser light within fiber optic systems, making it impossible for attackers to intercept or copy the information without detection.
Tests showed the protocol maintains 96% accuracy in deep learning models while ensuring robust security measures.
The security mechanism prevents both the server and client from accessing each other's sensitive data during computations.
Future applications could include federated learning and quantum operations, potentially enhancing both accuracy and security.