Quantum Random Number Generation
Quantum Random Number Generators (QRNGs) exploit the inherent randomness of quantum mechanical processes to produce true random numbers for cryptographic key generation, Monte Carlo simulations, and security protocols. European company ID Quantique produces the first QRNG chips to receive NIST Entropy Source Validation certification.[1]
- Industry: Cybersecurity
- Category: cryptography
- QRNG
- random-numbers
- cryptography
- entropy
- photonics
What is the problem?
Classical pseudorandom number generators are deterministic and potentially predictable, creating vulnerabilities in cryptographic systems. Hardware random number generators based on thermal noise or electronic jitter lack formal guarantees of unpredictability, and their entropy sources can degrade or be manipulated.
How does quantum computing help?
QRNGs measure quantum physical processes — such as vacuum fluctuations, photon detection statistics, or single-photon path selection — to generate numbers that are fundamentally unpredictable by the laws of physics. Device-independent and semi-device-independent protocols provide mathematical certificates of randomness without requiring trust in the hardware implementation.
What are the results?
ID Quantique's QRNG chips achieved NIST SP 800-90B Entropy Source Validation certification and are integrated in commercial smartphones and security modules. Academic demonstrations include boson sampling-based QRNGs on programmable silicon photonic processors generating certified multi-bit random numbers simultaneously.
Frequently Asked Questions
What problem does Quantum Random Number Generation solve?
Classical pseudorandom number generators are deterministic and potentially predictable, creating vulnerabilities in cryptographic systems. Hardware random number generators based on thermal noise or electronic jitter lack formal guarantees of unpredictability, and their entropy sources can degrade or be manipulated.
How does quantum computing help?
QRNGs measure quantum physical processes — such as vacuum fluctuations, photon detection statistics, or single-photon path selection — to generate numbers that are fundamentally unpredictable by the laws of physics. Device-independent and semi-device-independent protocols provide mathematical certificates of randomness without requiring trust in the hardware implementation.
Sources
- "A Comprehensive Review of Quantum Random Number Generators: Concepts, Classification and the Origin of Randomness", accessed 2026-03-19 — arXiv
- "Quantum Random Number Generation (QRNG) - ID Quantique", accessed 2026-03-19 — idquantique.com