A privacy-preserving publicly verifiable quantum random number generator.

Area of Science:

• Quantum Information Science
• Cryptography
• Statistical Computing

Background:

• Verifying random number generator (RNG) quality necessitates computationally intensive statistical tests on large datasets (gigabytes).
• End-users face limitations in performing these verifications due to restricted computing power.
• Secure applications require public demonstration of RNG quality without compromising the privacy of the generated random bits.

Purpose of the Study:

• To implement an entanglement-based protocol for verifying RNG quality.
• To enable a third party to conduct public statistical tests on random bits.
• To ensure the privacy of random bits during public verification.

Main Methods:

• Utilized an entanglement-based quantum protocol.
• Developed a method for third-party verification of random bits.
• Focused on privacy-preserving statistical testing.

Main Results:

• Successfully implemented a protocol for public statistical verification of random bits.
• Demonstrated that the protocol allows testing without compromising random bit privacy.
• Overcame computational limitations for end-user verification.

Conclusions:

• The implemented entanglement-based protocol offers a novel solution for secure and private verification of random number generators.
• This approach enhances the trustworthiness of random bits in sensitive applications.
• It democratizes RNG quality assurance by removing computational barriers for end-users.