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