Quantum Entropy
Quantum randomness, on-demand, at scale.
Quantum-generated random numbers to improve key security and eliminate entropy starvation.
Quantum Entropy
Quantum randomness, on-demand, at scale.
Quantum-generated random numbers to improve key security and eliminate entropy starvation.
Problems
Not all random is equal.
Only physical measurements of quantum phenomena contain provable entropy for generating random numbers. Other sources are a weak substitute.
Not all sources are peer-reviewed.
Claims of randomness are not good enough, and NIST advises against using statistical test suites (STS) to prove randomness.
Use Cases
Bootstrapping statistical analysis
Encryption key generation
Seeding Monte Carlo simulations
Information theoretical secure one-time pad creation
Increase unpredictability and variability in gaming
Synthetic data for AI and ML applications
Use Cases
Bootstrapping statistical analysis
Encryption key generation
Seeding Monte Carlo simulations
Information theoretical secure one-time pad creation
Increase unpredictability and variability in gaming
Synthetic data for AI and ML applications
Benefits
Create secure cryptographic keys
Source true random and eliminate predictable or guessable cryptographic keys.
Qrypt publishes detailed disclosures on our QRNGs’ operation
Calculations and physical details of the min-entropy analysis are available for review.
Advanced Roadmap of multiple quantum source types
Multiple sources protect against unknown failures - making any single source type impossible to characterize.
Benefits
Create secure cryptographic keys
Source true random and eliminate predictable or guessable cryptographic keys.
Qrypt publishes detailed disclosures on our QRNGs’ operation
Calculations and physical details of the min-entropy analysis are available for review.
Advanced Roadmap of multiple quantum source types
Multiple sources protect against unknown failures - making any single source type impossible to characterize.
