aiqbench analysis
This research extends intrinsic randomness certification from standard Bell scenarios to complex network causal structures, adapting the inflation technique to handle beyond-quantum adversaries in bilocality and triangle configurations. By distinguishing between certifying randomness and certifying an absence thereof, the study addresses foundational challenges in quantum cryptography and information theory within generalized network settings. The work highlights critical open problems in this nascent field, offering computational methods essential for advancing device-independent protocols in multi-node quantum systems.
Certifying Randomness or its Lack Thereof for General Network Scenarios
arXiv:2510.20993v2 Announce Type: replace Abstract: The certification of intrinsic randomness is foundational to quantum information theory and central in many practical applications thereof, such as in the generation of unquestionably random numbers and in cryptographic protocols. Device-independent randomness certification based on violations of Bell inequalities has been thoroughly investigated within the standard Bell scenario. In this work, we aim to extend this line of research by exploring randomness certification in more general causal structures, namely, network scenarios. To address this task, we demonstrate how the computational tool known as the inflation technique can be adapted. As proof of concept, we use inflation to certify randomness relative to a beyond-quantum adversary for sample probability distributions obtained in the bilocality and triangle scenarios. Complementarily, we also provide computational methods for the problem of certifying an absence of randomness, which should not be conflated with certifying the classicality of a given probability distribution. We conclude with a discussion of conceptual subtleties regarding randomness certification in networks, highlighting important open problems in this nascent research field.
Abstract:The certification of intrinsic randomness is foundational to quantum information theory and central in many practical applications thereof, such as in the generation of unquestionably random numbers and in cryptographic protocols. Device-independent randomness certification based on violations of Bell inequalities has been thoroughly investigated within the standard Bell scenario. In this work, we aim to extend this line of research by exploring randomness certification in more general causal structures, namely, network scenarios. To address this task, we demonstrate how the computational tool known as the inflation technique can be adapted. As proof of concept, we use inflation to certify randomness relative to a beyond-quantum adversary for sample probability distributions obtained in the bilocality and triangle scenarios. Complementarily, we also provide computational methods for the problem of certifying an absence of randomness, which should not be conflated with certifying the classicality of a given probability distribution. We conclude with a discussion of conceptual subtleties regarding randomness certification in networks, highlighting important open problems in this nascent research field.
arXiv:2510.20993 [quant-ph]
(or arXiv:2510.20993v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2510.20993 Focus to learn more arXiv-issued DOI via DataCite
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 256 words
Related coverage

The Alignment Problem: Computer Science Meets Analytic Philosophy
LessWrong · Oct 18, 2026

Quantifiers and witnesses for the nonclassicality of measurements and of states
Quantum Journal · Jul 30, 2026
How bad would it be if GPS satellites were shot down?
LessWrong · Jun 12, 2026
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
arXiv · Sep 18, 2026