On the Equivalence between Classical Position Verification and Certified Randomness
Fatih Kaleoglu, Minzhao Liu, Kaushik Chakraborty, David Cui, Omar Amer, Marco Pistoia, and Charles Lim

TL;DR
This paper establishes a theoretical connection between classical position verification and certified randomness, providing a universal compiler to convert protocols between these tasks, and demonstrates their practical implementation on NISQ devices.
Contribution
It introduces a generic compiler transforming single-round proofs of quantumness into secure classical position verification schemes, applicable to multi-round protocols and leveraging existing certified randomness protocols.
Findings
CVPV is equivalent to a relaxed form of certified randomness.
The compiler can convert any protocol analyzed with entropy accumulation theorem.
NISQ-friendly instantiation based on RCS demonstrates practical feasibility.
Abstract
Gate-based quantum computers hold enormous potential to accelerate classically intractable computational tasks. Random circuit sampling (RCS) is the only known task that has been able to be experimentally demonstrated using current-day NISQ devices. However, for a long time, it remained challenging to demonstrate the quantum utility of RCS on practical problems. Recently, leveraging RCS, an interactive protocol generating certified randomness was demonstrated using a trapped ion quantum computer, advancing the practical utility of near-term gate-based quantum computers. In this work, we establish a strong connection between certified randomness and another quantum computation classical communication primitive, classically verifiable position verification (CVPV), which circumvents the practical challenges that may arise from long-distance quantum communications. We provide a new generic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms
