Quantum Random Number Generators

Practical Considerations and Use Cases
January 2021 - evolutionQ

This report on Quantum Random Number Generators (QRNGs) explores the features of QRNGs as compared to traditional RNGs and is intended as a guide for those making design, architecture, and policy decisions for today’s cybersecurity systems. The report is based on input from several experts in the fields of RNGs and QRNGs, both from industry and academia, who were asked to express an opinion about aspects of QRNGs that set them apart from classical RNGs.

Authors

Dr. Marco Piani

Senior Research Analyst

Dr Piani is a theoretical physicist who has worked in the area of quantum information processing for 15 years. He is an expert on quantum resources like quantum entanglement, has a strong mathematical background, and modelling and programming skills.

Dr. Michele Mosca

CEO

Dr. Mosca is a world leading scientist in quantum computing, quantum cryptography, and conventional cryptography in an era with quantum technologies. He was a founder of Canada's Institute for Quantum Computing and co-authored the respected textbook "An Introduction to Quantum Computing".

Brian Neill

VP, Product & Business Development

Brian is a Certified Information Systems Security Professional (CISSP) with a career spanning 20 years in cybersecurity companies building software products and managing cyber security risk.

Quantum Random Number Generators

Practical Considerations and Use Cases

Download the full QRNG report - January 2021 - evolutionQ

Dr. Marco Piani
Dr. Michele Mosca
Brian Neill, CISSP