Entanglement assisted communication complexity measured by distinguishability
Satyaki Manna, Ankush Pandit, Debashis Saha

TL;DR
This paper explores how entanglement can enhance two-party communication tasks constrained by input distinguishability, showing advantages over classical methods and the utility of non-maximally entangled states.
Contribution
It develops a framework for entanglement-assisted communication, demonstrating advantages over classical and quantum strategies, and reveals the usefulness of non-maximally entangled states.
Findings
Entanglement-assisted communication outperforms classical methods.
Non-maximally entangled states can be more effective than maximally entangled ones.
Advantages persist even when the receiver has no input.
Abstract
We investigate the quantum advantage that can arise in typical two-party communication scenarios, where the sender and the receiver are allowed to share prior correlations. Focusing on communication tasks constrained by the distinguishability of the sender's inputs, we demonstrate that entanglement-assisted communication, both classical and quantum, can outperform classical communication supplemented with shared randomness. We begin by developing a general framework for communication tasks with pre-shared correlations. We identify certain communication tasks that exhibit an advantage under entanglement assistance compared to classical communication. Through these results, we establish a connection between quantum communication and entanglement-assisted classical communication, and also show an equivalence between entanglement-assisted classical communication and entanglement-assisted…
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
