No-signaling Quantum Key Distribution: Solution by Linear Programming
Won-Young Hwang, Joonwoo Bae, Nathan Killoran

TL;DR
This paper presents a linear programming method to determine secret key rates in no-signaling quantum key distribution, simplifying calculations and enabling potential generalizations beyond existing approaches.
Contribution
It introduces a straightforward linear programming approach to bound Eve's guessing probability, improving upon prior methods for calculating secret key rates in no-signaling QKD.
Findings
Achieved positive key rates consistent with known results
Provided a simpler, more generalizable calculation method
Demonstrated the approach with binary Eve outcomes
Abstract
We outline a straightforward approach for obtaining a secret key rate using only no-signaling constraints and linear programming. Assuming an individual attack, we consider all possible joint probabilities. Initially, we study only the case where Eve has binary outcomes, and we impose constraints due to the no-signaling principle and given measurement outcomes. Within the remaining space of joint probabilities, by using linear programming, we get bound on the probability of Eve correctly guessing Bob's bit. We then make use of an inequality that relates this guessing probability to the mutual information between Bob and a more general Eve, who is not binary-restricted. Putting our computed bound together with the Csisz\'ar-K\"orner formula, we obtain a positive key generation rate. The optimal value of this rate agrees with known results, but was calculated in a more straightforward…
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Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Intelligence, Security, War Strategy · Cryptographic Implementations and Security
