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Quantum linear network coding for entanglement distribution in restricted architectures

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Niel de Beaudrap1 and Steven Herbert1,2

1Department of Computer Science, University of Oxford, UK
2Riverlane, 1st Floor St Andrews House, 59 St Andrews Street, Cambridge, UK

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Abstract

In this paper we propose a technique for distributing entanglement in architectures in which interactions between pairs of qubits are constrained to a fixed network $G$. This allows for two-qubit operations to be performed between qubits which are remote from each other in $G$, through gate teleportation. We demonstrate how adapting $textit{quantum linear network coding}$ to this problem of entanglement distribution in a network of qubits can be used to solve the problem of distributing Bell states and GHZ states in parallel, when bottlenecks in $G$ would otherwise force such entangled states to be distributed sequentially. In particular, we show that by reduction to classical network coding protocols for the $k$-pairs problem or multiple multicast problem in a fixed network $G$, one can distribute entanglement between the transmitters and receivers with a Clifford circuit whose quantum depth is some (typically small and easily computed) constant, which does not depend on the size of $G$, however remote the transmitters and receivers are, or the number of transmitters and receivers. These results also generalise straightforwardly to qudits of any prime dimension. We demonstrate our results using a specialised formalism, distinct from and more efficient than the stabiliser formalism, which is likely to be helpful to reason about and prototype such quantum linear network coding circuits.

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Cited by

[1] Steven Herbert, “Increasing the classical data throughput in quantum networks by combining quantum linear network coding with superdense coding”, Physical Review A 101 6, 062332 (2020).

The above citations are from SAO/NASA ADS (last updated successfully 2020-11-03 11:36:40). The list may be incomplete as not all publishers provide suitable and complete citation data.

On Crossref’s cited-by service no data on citing works was found (last attempt 2020-11-03 11:36:39).

Source: https://quantum-journal.org/papers/q-2020-11-01-356/

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