Lumen Quantum Encryption
  • 1. Introduction
  • 2. Background
  • 3. Proposed Framework
  • 4. Implementation Details
  • 5. Use Cases
  • 6. Challenges and Future Directions
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6. Challenges and Future Directions

  • Challenges:

    • Noise and error rates in quantum systems.

    • Integration of classical AI with quantum protocols.

    • Scalability for large-scale quantum networks.

  • Future Directions:

    • Development of hybrid AI-quantum hardware.

    • Advanced machine learning models tailored for quantum data.

    • Exploration of post-quantum cryptography alongside quantum cryptography.

Previous5. Use Cases

Last updated 3 months ago