Quantum generators of random numbers.

Area of Science:

• Information Processing
• Quantum Physics
• Cryptography

Background:

• True random number generation is critical for secure information processing, surpassing limitations of pseudorandom methods.
• Physical hardware methods, particularly quantum random number generators (QRNGs), are essential for high-quality randomness.
• Assessing randomness quality and generation efficiency are key challenges in developing effective QRNGs.

Purpose of the Study:

• To evaluate and compare the performance of different quantum random number generators against pseudorandom methods.
• To introduce and validate a new miniaturized quantum random number generator prototype.
• To discuss the potential of entanglement-based QRNGs for secure randomness verification.

Main Methods:

• Comparative analysis of two commercial/academic QRNGs (PQ4000KSI, JUR01) and a pseudorandom generator (Mathematica Wolfram).
• Application of standard randomness quality tests (e.g., NIST, Dieharder) to assess generated bit sequences.
• Development and testing of a novel miniaturized QRNG prototype (JUR02).

Main Results:

• The JUR02 prototype demonstrated high-quality randomness, passing standard tests at a rate of 1 Mb/s.
• Comparative analysis highlighted the superior randomness of QRNGs over pseudorandom generators.
• The JUR02 prototype offers a miniaturized and efficient solution for true random number generation.

Conclusions:

• Quantum random number generators provide a robust solution for applications demanding high-quality randomness.
• The developed JUR02 prototype represents a significant advancement in miniaturized and efficient QRNG technology.
• Further research into entanglement-based protocols could enhance the security of public randomness verification.