Structure of quantum measurements implementable with one round of classical communication
Arthur C. R. Dutra, Ties-A. Ohst, Hai-Chau Nguyen, Otfried Gühne
TL;DR
The paper develops a convergent semidefinite-programming (SDP) hierarchy to characterize the convex hull of one-round LOCC measurements with a bounded classical communication budget, conv($1\textnormal{R}-\textnormal{LOCC}_{m}$), using constrained symmetric extensions. This framework explicitly encodes directionality, message size, and adaptivity, enabling exact or tightly bounded discrimination tasks in LOCC settings and distinguishing adaptive from non-adaptive strategies. Applying the method to iso-entangled Bell-basis bases, the double trine ensemble, and two-ququart states, the authors demonstrate directional LOCC advantages, non-projective measurement benefits, and minimal communication requirements for perfect discrimination. The results provide a practical, scalable tool for quantifying classical communication resources in LOCC tasks and suggest extensions to broader quantum-information processing tasks, including multi-round protocols and channel discrimination.
Abstract
Measurements that can be implemented via local operations and classical communication (LOCC) constitute a class of operations that is available in future quantum networks in which parties share entangled resource states. We characterise the different classes of measurements implementable with LOCC, where communication is restricted to a single round with a fixed direction. In particular, using the framework of constrained separability problems, we provide a complete characterisation of the class of LOCC measurements that require one round of classical communication with a limit on the transmitted information. Furthermore, we show how to distinguish between adaptive and non-adaptive measurements strategies. Using our techniques we present examples where the success probability of state discrimination depends on the direction of communication as well as on the message size. We also discuss explicit instances of state ensembles where non-projective measurements provide an advantage and where adaptive measurement strategies lead to improved success rates when compared to all non-adaptive strategies.
