quantum-information-protocol-analyzer

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:

1. Input requirements: Quantum resources needed (qubits, entanglement, channels)
2. Process steps: Quantum operations sequence
3. Output metrics: Key rate, fidelity, security level
4. Security assumptions: Trust models, adversarial capabilities
5. 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

# Add protocol to kg.db
kg_tool.add-entity kg.db protocol "[Protocol Name]"
kg_tool.add-entity kg.db paper "[Paper Title]"

# Create relations
kg_tool.add-relation kg.db paper_id protocol_id "has_protocol"

# Add keywords
kg_tool.add-entity kg.db keyword "[key terms]"
kg_tool.add-relation kg.db protocol_id keyword_id "has_keyword"

Vector Embedding

# Generate embedding for protocol description
embedding = embedding_model.encode(protocol_summary)

# Store in kg_vectors
INSERT INTO kg_vectors (entity_id, embedding)
VALUES (protocol_id, embedding_blob)

Best Practices

1. Prioritize security analysis: Quantum protocols are primarily security tools
2. Extract implementation constraints: Practical limits are crucial
3. Compare with classical alternatives: Highlight quantum advantages
4. Note hardware requirements: Implementation feasibility depends on this
5. 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