quantum-information-protocol-analyzer

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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.

hiyenwong By hiyenwong schedule Updated 6/4/2026
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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
Install via CLI
npx skills add https://github.com/hiyenwong/ai_collection --skill quantum-information-protocol-analyzer
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