Papers for

quantum network engineers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Quantum algorithm colors cycle graphs in constant time

Quantum Advantage for Distributed Symmetry Breaking

Abstract: We present a distributed quantum algorithm that $3$-colors cycles in $O(1)$ rounds, with high probability. It follows that all locally checkable labeling problems (LCLs) that have round complexity $O(\log^* n)$ in the classical LOCAL model can be solved in $O(1)$ rounds in the quantum-LOCAL model, with high probability; this includes problems such as maximal independent set and maximal matching in bounded-degree graphs. This presents the first natural examples of graph problems with an asymptotic distributed quantum advantage for the LOCAL model; all prior examples that separate LOCAL and quantum-LOCAL are artificial problems constructed merely for the sake of demonstrating quantum advantage.

Tue 22 SeptDistributed, Parallel, and Cluster Computing
The gist
Some network problems require nodes to pick colors or labels without conflicts, which can be slow on classical computers. The authors show that quantum computing can solve these problems much faster in a distributed setting, specifically coloring cycle graphs with three colors in constant time. This speed-up works for many related problems where classical methods take longer, marking the first natural instance where quantum networks outperform classical ones. This suggests quantum communication can fundamentally improve distributed coordination tasks.
Open 2609.26788v1

Quantum Markov blankets improve efficiency and security in quantum networks

QCMI-Based Quantum Markov Blanket Discovery for Semantic Quantum Networks

Abstract: Quantum-enabled semantic communication networks (QESCs) leverage quantum technologies to transmit data meaning efficiently, yet face challenges from costly resources and noise. This letter introduces Quantum Markov Blankets (QMBs) to QESCs, a novel framework to isolate essential quantum information for semantic transmission. We prove QMBs' validity using quantum conditional mutual information, showing that they shield semantic content from irrelevant subsystems. An implementation strategy optimises QMB detection, reducing resource use. Simulations suggest that QMB-based QESCs cut qubit consumption by 50\%-75\% while enhancing fidelity compared with non-optimised quantum semantic schemes. Unlike classical approaches, QMBs offer inherent security by limiting an eavesdropper's access to classical data outside the blanket. We outline future directions, including real-time QMB adaptation. This work bridges quantum information theory and semantic communication, advancing resource-efficient and secure quantum networks.

Sat 19 SeptInformation Theory
The gist
Transmitting important information in quantum communication networks is hard because quantum resources are costly and noise can interfere. The authors introduce Quantum Markov Blankets, a way to identify and isolate only the essential quantum information needed, which cuts down resource use and boosts accuracy. Their method also naturally protects data by restricting what an eavesdropper can see outside these blankets. Simulations show it can reduce qubit use by up to three-quarters and improve communication quality compared to existing methods.
Open 2609.23190v1

Holevo barycenter does not multiply under combined quantum channels

Non-Multiplicativity of the Holevo Barycenter of Quantum Channels

Abstract: The Holevo barycenter of a quantum channel is the unique output state obtained as the average output of any ensemble achieving the Holevo capacity. Given two quantum channels, the multiplicativity problem asks whether this barycenter tensorizes under parallel composition, namely whether the barycenter of the product channel coincides with the tensor product of the individual barycenters. This question is closely related to the additivity problem for the Holevo capacity: additivity implies tensorization of the Holevo barycenter, while tensorization alone is not sufficient for additivity. Although a construction is known that demonstrates the existence of channels with non-additive Holevo capacity, their corresponding Holevo barycenters still tensorize, leaving open whether multiplicativity might ultimately hold universally. Here, we answer this question in the negative by exhibiting channels for which the Holevo barycenter is not multiplicative under the tensor product of the channel with itself. Moreover, we show that the entropy of the Holevo barycenter is neither universally subadditive nor universally superadditive under tensor product.

Tue 8 SeptInformation Theory
The gist
The Holevo barycenter is a way to describe the average output state from a quantum communication channel. People wondered whether combining two channels side-by-side would make their barycenters simply multiply or combine in a straightforward way. The authors show that this is not always true—the barycenter for the combined channel can be different from the product of the individual barycenters. They also find that the entropy of these barycenters does not reliably add up or break down in simple ways when channels are combined. This answers an open question about how quantum information capacity behaves when channels are used together.
Open 2609.09373v1

Quantum channel capacity strictly limits reliable information transfer

No information transmission through quantum channels above capacity

Abstract: We show that the capacity of a quantum channel demarcates a phase transition: while reliable transmission below capacity is always possible, any attempt to transmit information above it fails catastrophically. Specifically, we prove exponential strong converse theorems for unassisted quantum and classical communication over arbitrary finite-dimensional memoryless quantum channels. At rates beyond the respective capacity, the entanglement-generation fidelity and the success probability for classical communication decay exponentially with the number of channel uses. This rules out transmission above capacity even when one tolerates arbitrarily large errors. Our proof follows the classical Arimoto strategy, augmented by a crucial new ingredient: integral representations of Rényi information measures that lead to asymptotic continuity bounds for Rényi capacities.

Tue 8 SeptInformation Theory
The gist
This paper shows there is a clear hard limit on how much information can be reliably sent over quantum communication channels. The authors prove that sending data above this limit doesn't just get harder, but actually fails exponentially fast with more uses of the channel. This means no matter the method, you can't hope to reliably communicate above the channel’s capacity, even if you're willing to accept large errors. The proof builds on classical methods but adds new mathematical tools for understanding quantum information measures.
Open 2609.08998v1