Adaptive advantage in entanglement-assisted communications

TL;DR

This paper explores adaptive entanglement-assisted communication protocols where the receiver measures after receiving the sender's message, leading to improved success probabilities and demonstrating entanglement as a stronger resource than qubits.

Contribution

It introduces adaptive measurement strategies in entanglement-assisted communication, surpassing standard protocols and establishing entanglement as a more powerful resource than qubits.

Findings

Adaptive protocols improve success probability in Random Access Codes.

Entanglement-assisted bits are stronger than qubits in certain scenarios.

Extensions to quantum communication are discussed.

Abstract

Entanglement is known to boost the efficiency of classical communication. In distributed computation, for instance, exploiting entanglement can reduce the number of communicated bits or increase the probability to obtain a correct answer. Entanglement-assisted classical communication protocols usually consist of two successive rounds: first a Bell test round, in which the parties measure their local shares of the entangled state, and then a communication round, where they exchange classical messages. Here, we go beyond this standard approach and investigate adaptive uses of entanglement: we allow the receiver to wait for the arrival of the sender's message before measuring his share of the entangled state. We first show that such adaptive protocols improve the success probability in Random Access Codes. Second, we show that once adaptive measurements are used, an entanglement-assisted bit becomes a strictly stronger resource than a qubit in prepare-and-measure scenarios. We briefly discuss extension of these ideas to scenarios involving quantum communication and identify resource inequalities.