5,457,472 AI resources indexedWorking toward the world’s largest AI resource index.

PDF

QRNG Generator

Quantum random number generation skill for cryptographic applications

Installable skillMITBy a5c-aiUpdated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
name: qrng-generator-112f63c34cff
description: Quantum random number generation skill for cryptographic applications
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
metadata:
  specialization: quantum-computing
  domain: science
  category: cryptography
  phase: 6
graph:
  domains: [domain:quantum-computing]
  specializations: [specialization:quantum-computing]
  skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:statistical-analysis]
  workflows: [workflow:experiment-design]
  roles: [role:research-engineer, role:computational-scientist]
---

# QRNG Generator

## Purpose

Provides expert guidance on generating true random numbers using quantum processes for cryptographic and security applications.

## Capabilities

- Hadamard-based randomness generation
- Randomness extraction and post-processing
- NIST SP 800-90B compliance testing
- Entropy rate estimation
- Min-entropy analysis
- Integration with cryptographic APIs
- Bias correction
- Real-time QRNG streaming

## Usage Guidelines

1. **Circuit Design**: Build quantum circuits for randomness generation
2. **Execution**: Run on quantum hardware for true randomness
3. **Testing**: Verify randomness quality with statistical tests
4. **Post-Processing**: Apply extractors to remove bias
5. **Integration**: Connect QRNG output to cryptographic systems

## Tools/Libraries

- Qiskit
- NIST Statistical Test Suite
- dieharder
- TestU01
- PractRand

Discuss this resource

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.