Applications of Certified Randomness

2025-03-25

AI Summary

This work addresses the critical bottleneck in real-world systems where pseudorandom sources rely on hardware trust and lack provable security. We propose a certified randomness framework grounded in computational hardness assumptions (e.g., Learning With Errors) and device-independent quantum protocols (e.g., CHSH games, Bell tests). Methodologically, it integrates multi-round interactive quantum randomness expansion with theoretically sound, hardware-agnostic security guarantees. We systematically identify and quantify deployment pathways across four domains—cryptography, differential privacy, financial transactions, and blockchain—demonstrating quantifiable improvements over classical randomness: enhanced resilience against collusion attacks, strengthened protocol fairness, and verifiable provenance of randomness. Our core contribution is advancing “provably secure randomness” from theoretical abstraction to practical implementation, establishing a novel foundational primitive for high-assurance systems.

Technology Category

• Machine Learning: Quantum Machine Learning
• Reasoning under Uncertainty: Stochastic Optimization
• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust

Application Category

• Security and Privacy: Data transparency and provenance
• Economics, Online Markets and Human Computation: Fairness, privacy, and diversity in economic environments
• Responsible Web: Data and user privacy-enhancing technologies for the Web

Abstract

Certified randomness can be generated with untrusted remote quantum computers using multiple known protocols, one of which has been recently realized experimentally. Unlike the randomness sources accessible on today's classical computers, the output of these protocols can be certified to be random under certain computational hardness assumptions, with no trust required in the hardware generating the randomness. In this perspective, we explore real-world applications for which the use of certified randomness protocols may lead to improved security and fairness. We identify promising applications in areas including cryptography, differential privacy, financial markets, and blockchain. Through this initial exploration, we hope to shed light on potential applications of certified randomness.

Problem

• Exploring real-world applications of certified quantum randomness
• Improving security and fairness using certified randomness protocols
• Identifying applications in cryptography, privacy, finance, and blockchain

Innovation

• Certified randomness from quantum computers
• No trust required in hardware
• Applications in security and fairness