| name | quantum-information-protocol-analyzer |
| description | Analyze quantum information protocols (QKD, quantum cryptography, quantum communication) from research papers. Extract protocol design patterns, security analysis methods, and implementation guidelines. Triggered by: quantum protocol, QKD analysis, quantum cryptography, quantum communication protocol, 量子协议分析, quantum information security. |
Quantum Information Protocol Analyzer
Description
Analyzes quantum information protocols from academic papers, extracting reusable patterns for:
- QKD protocols (BB84, E91, decoy-state, CV-QKD)
- Quantum cryptography (quantum secret sharing, quantum digital signatures)
- Quantum communication (quantum teleportation, quantum dense coding)
- Security analysis methods (information-theoretic security, entanglement-based security)
Related Protocols
Quantum Subliminal Learning (arXiv:2605.29557)
Pattern: Quantum science and machine learning convergence paradigm. Explores learning mechanisms operating below classical detection thresholds using quantum states.
- ML as physical science — ML principles rooted in physical quantum phenomena
- Subliminal information processing — quantum states enable learning beyond classical detection
- Superconducting quantum circuits as hardware foundation for quantum-classical learning
- Entanglement-enhanced information transfer for learning acceleration
Trigger: quantum ML convergence, quantum information science, subliminal learning, quantum-classical fusion
Activation Keywords
- quantum protocol analysis
- QKD analysis
- quantum cryptography
- quantum communication protocol
- 量子协议分析
- quantum information security
- quantum secret sharing
- quantum network protocol
Tools Used
read: Read research papers, SKILL.md files
write: Create analysis reports, protocol summaries
exec: Run protocol simulation scripts
web_search: Search for latest quantum protocol papers
web_fetch: Fetch paper content from arxiv/Semantic Scholar
Core Protocol Types
1. Quantum Key Distribution (QKD)
| Protocol | Mechanism | Security Basis | Key Rate |
|---|
| BB84 | Single photon encoding | Uncertainty principle | ~1 kbps |
| E91 | Entanglement-based | Bell inequality | ~100 bps |
| Decoy-state | Decoy pulses | Photon number statistics | ~10 Mbps |
| CV-QKD | Continuous variables | Gaussian modulation | ~100 Mbps |
2. Quantum Cryptography
- Quantum Secret Sharing: Split secrets using quantum entanglement
- Quantum Digital Signatures: Unforgeable signatures via quantum states
- Quantum Money: Quantum state-based currency verification
3. Quantum Communication
- Quantum Teleportation: Transfer quantum states without physical transfer
- Quantum Dense Coding: Send 2 bits via 1 qubit with entanglement
- Quantum Error Correction: Protect quantum information from decoherence
Analysis Workflow
Step 1: Protocol Identification
def identify_protocol(paper):
"""Identify protocol type from paper content."""
keywords = {
'QKD': ['key distribution', 'BB84', 'E91', 'decoy', 'CV-QKD'],
'Secret Sharing': ['secret sharing', 'quantum sharing'],
'Digital Signature': ['digital signature', 'quantum signature'],
'Teleportation': ['teleportation', 'state transfer'],
'Error Correction': ['error correction', 'QECC', 'surface code']
}
for protocol_type, terms in keywords.items():
if any(term in paper.lower() for term in terms):
return protocol_type
return 'General Quantum Protocol'
Step 2: Extract Protocol Components
For each identified protocol, extract:
- Input requirements: Quantum resources needed (qubits, entanglement, channels)
- Process steps: Quantum operations sequence
- Output metrics: Key rate, fidelity, security level
- Security assumptions: Trust models, adversarial capabilities
- Implementation challenges: Hardware requirements, error tolerance
Step 3: Security Analysis Extraction
## Security Analysis Framework
### Information-Theoretic Security
- Shannon entropy analysis
- Mutual information bounds
- Holevo bound application
### Composability
- Sequential composition
- Parallel composition
- Universal composability framework
### Attack Models
- Individual attacks
- Collective attacks
- Coherent attacks
- Side-channel attacks
Step 4: Implementation Guidelines
Extract practical implementation notes:
- Hardware requirements: Photon sources, detectors, channels
- Error thresholds: Maximum tolerable error rates
- Distance limits: Maximum transmission distance
- Rate optimization: Parameter tuning for key rate
Protocol Pattern Extraction
Pattern 1: Prepare-and-Measure QKD
1. Alice prepares quantum states (random basis choice)
|ψ⟩ ∈ {|0⟩, |1⟩, |+⟩, |−⟩} for BB84
2. Alice sends to Bob via quantum channel
3. Bob measures (random basis choice)
4. Public discussion: basis reconciliation
5. Error estimation: sample subset
6. Privacy amplification: extract secure key
7. Authentication: classical channel security
Pattern 2: Entanglement-Based Protocol
1. Entangled state preparation (EPR pairs)
|Φ⁺⟩ = (|00⟩ + |11⟩)/√2
2. Distribution to Alice and Bob
3. Measurement in chosen bases
4. Bell test for security verification
5. Key extraction from correlated outcomes
6. Entanglement purification (if needed)
Pattern 3: Quantum Secret Sharing
1. Secret encoding into quantum state
2. State distribution to multiple parties
3. Access structure: authorized subsets can reconstruct
4. Security: unauthorized subsets get no information
5. Reconstruction via quantum operations
6. Verification of secret integrity
Output Format
Protocol Analysis Report
# Quantum Protocol Analysis: [Protocol Name]
## Source Paper
- **Title**: [Paper title]
- **arxiv ID**: [arxiv ID]
- **Authors**: [Authors]
## Protocol Overview
- **Type**: [QKD/Cryptography/Communication]
- **Mechanism**: [Brief description]
- **Security Basis**: [Information-theoretic/Computational]
## Protocol Specification
### Parameters
| Parameter | Value | Description |
|-----------|-------|-------------|
| Key length | N bits | Target key size |
| Error threshold | 11% | Maximum QBER |
| Distance | 100 km | Transmission distance |
### Quantum Operations
1. [Step 1 description]
2. [Step 2 description]
...
### Classical Post-Processing
1. [Reconciliation method]
2. [Privacy amplification]
3. [Authentication]
## Security Analysis
### Information Bounds
- **Holevo bound**: χ ≤ S(ρ) - ∑ p_x S(ρ_x)
- **Key rate**: r = I(A:B) - I(A:E)
### Attack Resistance
- [Individual attacks]: [Analysis]
- [Collective attacks]: [Analysis]
- [Coherent attacks]: [Analysis]
## Implementation Notes
### Hardware Requirements
- [Photon source type]
- [Detector specifications]
- [Channel requirements]
### Practical Challenges
- [Challenge 1]
- [Challenge 2]
## Reusable Patterns
### Pattern: [Pattern name]
[Pattern description]
### Applicability
[Where this pattern can be reused]
## Related Protocols
- [Protocol 1]: [Similarity]
- [Protocol 2]: [Difference]
Research Integration
Adding to Knowledge Graph
kg_tool.add-entity kg.db protocol "[Protocol Name]"
kg_tool.add-entity kg.db paper "[Paper Title]"
kg_tool.add-relation kg.db paper_id protocol_id "has_protocol"
kg_tool.add-entity kg.db keyword "[key terms]"
kg_tool.add-relation kg.db protocol_id keyword_id "has_keyword"
Vector Embedding
embedding = embedding_model.encode(protocol_summary)
INSERT INTO kg_vectors (entity_id, embedding)
VALUES (protocol_id, embedding_blob)
Best Practices
- Prioritize security analysis: Quantum protocols are primarily security tools
- Extract implementation constraints: Practical limits are crucial
- Compare with classical alternatives: Highlight quantum advantages
- Note hardware requirements: Implementation feasibility depends on this
- Track parameter ranges: Optimal values affect performance
Extended Scope: Post-Quantum & Information-Theoretic Security (2026-05-31)
This skill's scope has been broadened beyond purely quantum protocols to include post-quantum cryptographic deployment and information-theoretic privacy protocols that serve the same security goals in the quantum-threat landscape.
Post-Quantum Cryptography (PQC) Deployment
- quantum-safe-6g-pqc-evaluation (arXiv: 2605.06881) — NIST PQC benchmarking for 6G/IoT networks
- ML-KEM/Kyber, ML-DSA/Dilithium, Falcon size expansion analysis
- Three deployment patterns: hybrid handshake, size-optimized, asynchronous PQC
- Key insight: ciphertext/signature size (not computation) is the bottleneck
Quantum Hardware Security
- quantum-secure-puf-silicon-photonics (arXiv: 2605.14959) — Quantum readout PUFs using SiN MZI meshes
- Single-photon states + maximally mixed input for eavesdropper concealment
- EER as low as 10^-14 via Monte Carlo security analysis
- CMOS-compatible fabrication for scalable deployment
Information-Theoretic Privacy
- dpf-error-detecting-pir-rings (arXiv: 2604.00411) — DPF-based IT-PIR over rings
- Distributed Point Functions with algebraic error detection
- Ring-based construction more efficient than field-based
- Multi-server with adversarial tolerance
Unified Security Taxonomy
| Layer | Protocol Type | Example | Security Model |
|---|
| Quantum | QKD, quantum teleportation | BB84, E91 | Information-theoretic (quantum physics) |
| Post-Quantum | Lattice-based, code-based | ML-KEM, ML-DSA | Computational (hardness assumptions) |
| Hardware | PUFs, quantum readout | SiN MZI mesh PUF | Physical unclonability + quantum states |
| Information-Theoretic | IT-PIR, DPF | Ring-based PIR | Information-theoretic (no computational assumptions) |
Related Skills
- quantum-network-protocol-designer: Design new quantum protocols
- quantum-finance-analysis: Quantum applications in finance
- quantum-algorithm-implementation-guide: Implement quantum algorithms
- post-quantum-cryptographic-protocol-analysis: PQC protocol design and analysis
- quantum-resistant-networks: Post-quantum network architecture
- quantum-safe-6g-pqc-evaluation: NIST PQC deployment evaluation for 6G/IoT
- quantum-secure-puf-silicon-photonics: Quantum PUF authentication via silicon photonics
- dpf-error-detecting-pir-rings: Information-theoretic private information retrieval
- quantum-entanglement-channel-discrimination: MEWC/MEBC framework — entanglement resource trade-offs for channel discrimination and phase transitions
References
- Nielsen & Chuang: Quantum Computation and Quantum Information
- Scarani et al.: The security of practical quantum key distribution
- Lo et al.: Decoy state quantum key distribution
- Renner: Security of Quantum Key Distribution
- references/pqc-deployment-evaluation.md — NIST PQC benchmarking results for 6G/IoT deployment (ML-KEM, ML-DSA, Falcon size/computation trade-offs)
Notes
- Quantum information protocols are distinct from quantum algorithms
- Security proofs often use information-theoretic arguments
- Practical implementations require careful parameter tuning
- Hardware advances directly affect protocol feasibility