Optimal and Feasible Contextuality-based Randomness Generation
Yuan Liu, Ravishankar Ramanathan

TL;DR
This paper advances semi-device-independent randomness generation using Kochen-Specker contextuality, introducing new feasible graphs, relaxing measurement assumptions, and analyzing qubit contextuality and security threats.
Contribution
It introduces a family of orthogonality graphs for optimal randomness certification, relaxes measurement compatibility assumptions, and explores qubit contextuality and security issues.
Findings
Maximum randomness of log2(d) bits certified for certain graphs
Quantum correlations certify randomness under relaxed compatibility conditions
Single qubits are nearly contextual, challenging classical explanations
Abstract
Semi-device-independent (SDI) randomness generation protocols based on Kochen-Specker contextuality offer the attractive features of compact devices, high rates, and ease of experimental implementation over fully device-independent (DI) protocols. Here, we investigate this paradigm and derive four results to improve the state-of-art. Firstly, we introduce a family of simple, experimentally feasible orthogonality graphs (measurement compatibility structures) for which the maximum violation of the corresponding non-contextuality inequalities allows to certify the maximum amount of bits of randomness from a quit system with projective measurements for . We analytically derive the Lov\'asz theta and fractional packing number for this graph family, and thereby prove their utility for optimal randomness generation in both randomness expansion and amplification tasks.…
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Taxonomy
TopicsVideo Analysis and Summarization · Anomaly Detection Techniques and Applications · Time Series Analysis and Forecasting
