Generalized State Discrimination for Tunable Quantum Key Distribution: The phiQKD Protocol
Animesh Banik, Md. Shihab Khan, Rafid Masrur Khan, Syed Emad Uddin Shubha, Quazi Muhammad Rashed Nizam
TL;DR
This work introduces Generalized State Discrimination (GSD), a tunable discrimination framework controlled by the tilting angle $φ$, which smoothly interpolates between unambiguous state discrimination and minimum-error discrimination. By embedding GSD in a two-state QKD protocol (phiQKD), the authors replace the fixed IDP measurement with a tunable POVM, enabling adaptivity to channel noise and imperfections while maintaining security under asymptotic, finite-key, and composable models. For the two-state pair $|0 angle$ and $|+ angle$, the protocol achieves a composable secure key rate of $R_{secure} o 0.181958$ bits per signal, about 16% higher than standard B92, with improved sifting and lower QBER. Beyond QKD, the GSD framework offers a general approach to designable quantum measurements, potentially benefiting quantum sensing, metrology, and hypothesis testing through adaptive measurement strategies that balance correctness and conclusiveness.
Abstract
We introduce a tunable framework for generalized quantum state discrimination (GSD) and apply it to quantum key distribution (QKD) through a protocol we call phiQKD. Building upon the two-state B92 protocol, phiQKD replaces the traditional unambiguous state discrimination (IDP) measurement with a one-parameter family of hybrid POVMs characterized by a tilting angle $φ$. This allows for continuous control over the trade-off among correct, incorrect, and inconclusive outcomes. While the asymptotic key rate improvement over B92 is modest, phiQKD offers a practical advantage by enabling adaptability to noise and channel imperfections via measurement tunability. By evaluating the protocol under asymptotic, finite-key, and composable security models, we show that, treating quantum measurement as a tunable design parameter, rather than a fixed operation, enables flexible protocol optimization and improved performance under realistic constraints.
