quantum-safe-pqc-deployment

star 2

Post-quantum cryptography (PQC) production deployment methodology. Hybrid-by-default architecture bridging classical and post-quantum security for production systems. Covers ML-KEM/ML-DSA migration, TLS integration, and incremental deployment strategies.

hiyenwong By hiyenwong schedule Updated 6/12/2026

name: quantum-safe-pqc-deployment description: "Post-quantum cryptography (PQC) production deployment methodology. Hybrid-by-default architecture bridging classical and post-quantum security for production systems. Covers ML-KEM/ML-DSA migration, TLS integration, and incremental deployment strategies." metadata: arxiv_id: "2605.17061" published: "2026-05-15"

Quantum-Safe PQC Deployment

Core Concepts

Bridging the gap between PQC standardization and production deployment requires hybrid-by-default architectures that support both classical and post-quantum cryptography simultaneously. This enables incremental migration without breaking existing systems.

Methodology

Hybrid-by-Default Architecture

  1. Dual-stack TLS: Support both classical (ECDHE) and PQC (ML-KEM) key exchange simultaneously
  2. Signature chaining: Use both classical (ECDSA) and PQC (ML-DSA) signatures
  3. Fallback mechanisms: Graceful degradation when PQC is not supported by peers

Deployment Strategy

  1. Inventory: Catalog all cryptographic dependencies in production systems
  2. Prioritize: Focus on long-lived secrets and high-value assets first
  3. Test: Validate PQC compatibility in staging environments
  4. Deploy: Roll out hybrid mode with monitoring
  5. Transition: Phase out classical algorithms as PQC adoption matures

Activation Keywords

  • post-quantum cryptography deployment
  • PQC production
  • quantum-safe architecture
  • ML-KEM ML-DSA migration
  • hybrid TLS
  • 后量子密码部署

Pitfalls

  • PQC key sizes are significantly larger (ML-KEM-768: ~1KB vs ECDHE ~32 bytes)
  • ML-DSA signatures are ~2.5KB vs ECDSA ~64 bytes - impacts bandwidth
  • Not all libraries support hybrid mode natively
  • Performance overhead from dual computation
Install via CLI
npx skills add https://github.com/hiyenwong/ai_collection --skill quantum-safe-pqc-deployment
Repository Details
star Stars 2
call_split Forks 0
navigation Branch main
article Path SKILL.md
More from Creator