Version: 1.0 Date: 2026-01-21 License: Apache 2.0
This guide outlines a recommended phased approach for implementing high-dimensional quantum and hybrid quantum-classical communication systems. For long-horizon objectives, see Vision 2026-2075.
- Use Public Development Plan for the evidence checklist by phase.
- Use Conformance Suite for test scope and Conformance Suite Roadmap for phased delivery milestones.
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║ IMPLEMENTATION PHASES ║
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║ Phase 1: Foundation │ Infrastructure & Architecture ║
║ Phase 2: Core Development │ Simulation & Cryptographic Primitives ║
║ Phase 3: Quantum Layer │ QKD Protocols & High-D Encoding ║
║ Phase 4: Integration │ Hybrid Network & SDN ║
║ Phase 5: Deployment │ Pilot & Production ║
╚═══════════════════════════════════════════════════════════════════════╝
- Establish development infrastructure
- Define system architecture
- Set up CI/CD pipelines
-
Development Environment
- Set up monorepo with language-specific workspaces
- Configure reproducible builds (Nix/devcontainers)
- Optional: deploy a local Kubernetes cluster for integration tests
-
Architecture Definition
- Define system interfaces (protobuf/OpenAPI)
- Select quantum simulation backend
- Design data flow architecture
- Conduct security threat modeling
- Define Zero Trust boundaries and policy baseline (NIST SP 800-207)
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Documentation
- Architecture Decision Records (ADRs)
- System context diagrams
- API specifications
- Git repository with CI/CD
- Development environment configuration
- Architecture documentation
- Initial security assessment
- Implement dimensionality reduction pipeline
- Build cryptographic foundation
- Develop simulation framework
-
Dimensionality Reduction
# Target capabilities - 8D → 4D reduction with >95% information retention - 12D → 8D reduction with >90% information retention - GPU acceleration (10x speedup target)
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Cryptographic Primitives
- Post-quantum key encapsulation (ML-KEM)
- Post-quantum signatures (ML-DSA)
- Hybrid key derivation (HKDF-based)
- Cryptographic agility framework
-
Quantum Simulation
- Qudit state manipulation (d=2-20)
- Noise channel modeling
- Fidelity calculations
-
Service Integration
- Rust compute service exposed via gRPC for control plane integration
- Dimensionality reduction library
- Cryptographic primitive library
- Quantum simulation framework
- Unit test suite (>80% coverage)
- Implement QKD protocol stack
- Build high-dimensional encoding
- Develop error correction
-
QKD Protocol Stack
L5: Key Management (ETSI QKD 014) L4: Privacy Amplification L3: Error Correction (LDPC) L2: Sifting L1: Quantum Transmission -
High-Dimensional Encoding
- Time-bin encoding (4-8D)
- Path encoding for multicore fiber
- Hybrid schemes
-
Error Correction
- LDPC codes for qudits
- Belief propagation decoding
- Adaptive rate selection
- ETSI QKD 014 compliant API
- High-dimensional sifting protocol
- Error correction implementation
- Integration test suite
- Integrate quantum and classical channels
- Implement SDN orchestration
- Deploy hybrid security protocols
-
Coexistence Architecture
Multicore Fiber Layout: - Core 1: QKD channel - Core 2-3: Classical data - Core 4: Control channel -
SDN Integration
- QKD-aware routing
- Resource allocation
- Path computation engine
-
Hybrid Protocol
- QKD + PQC + Classical key derivation
- Automatic fallback mechanism
- Session management
- Hybrid network prototype
- SDN controller with QKD plugin
- Fallback mechanism
- End-to-end encryption
- Deploy in controlled environment
- Validate performance
- Achieve certifications
-
Lab Deployment
- Install QKD hardware
- Configure network infrastructure
- Establish monitoring
-
Validation Testing
Test Target QKD key rate >10 kbps QBER <5% Classical throughput >40 Gbps Failover time <1s -
Certification
- ISO 27001 audit
- FIPS 140-3 testing
- SOC 2 Type II
- Operational pilot system
- Performance benchmarks
- Certification documentation
- Operations manual
| Layer | Primary | Alternative |
|---|---|---|
| Quantum Simulation | Python | Julia |
| Performance-Critical | Rust | C++ |
| Data Processing | Python | Julia |
| Network Control | Go | Rust |
| Purpose | Recommendation |
|---|---|
| Quantum Simulation | Qiskit, QuTiP, PennyLane |
| Dimensionality Reduction | UMAP (cuML for GPU) |
| Post-Quantum Crypto | liboqs |
| Networking | QUIC, gRPC |
| SDN | OpenDaylight |
| Component | Recommendation |
|---|---|
| Container Orchestration | Kubernetes |
| CI/CD | GitHub Actions / GitLab CI |
| Monitoring | Prometheus + Grafana |
| Secret Management | HashiCorp Vault |
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Defense in Depth
- Layer QKD + PQC + Classical
- Implement automatic fallback
- Monitor all security metrics
-
Cryptographic Agility
- Abstract cryptographic interfaces
- Support algorithm replacement
- Maintain upgrade path
-
Key Management
- Use HSMs for key storage
- Implement key rotation
- Audit all key operations
-
Testing
- Unit tests for all components
- Integration tests for protocols
- Chaos testing for resilience
-
Documentation
- API documentation (OpenAPI)
- Architecture decision records
- Runbooks for operations
-
Code Quality
- Static analysis (SAST)
- Dependency scanning
- Code review requirements
| Metric | Phase 2 | Phase 4 | Phase 5 |
|---|---|---|---|
| Dimensionality reduction accuracy | 95% | 97% | 99% |
| Simulated QBER (8D) | <10% | <7% | <5% |
| System availability | 95% | 99% | 99.9% |
| Test coverage | 80% | 85% | 90% |
- ETSI GS QKD 014 - Key Delivery API
- ETSI GS QKD 015 - Control Interface
- NIST FIPS 203/204/205 - Post-Quantum Standards
- ISO/IEC 27001:2022 - Information Security
See CONTRIBUTING.md for contribution guidelines.
Apache License 2.0. See LICENSE for details.