Bipartite entanglement of noisy stabilizer states through the lens of stabilizer codes
Kenneth Goodenough, Aqil Sajjad, Eneet Kaur, Saikat Guha, Don Towsley

TL;DR
This paper explores the entanglement properties of noisy stabilizer states using stabilizer codes, revealing how their spectra relate to code characteristics and identifying states resilient to noise for quantum networks.
Contribution
It introduces a novel approach linking stabilizer state entanglement to stabilizer code properties, including a new perspective on resilience against noise and a proof relating stabilizer and graph codes.
Findings
Spectra of reduced states relate to stabilizer code properties
Coherent information links to syndrome entropy of codes
Identifies stabilizer states resilient to noise for quantum networks
Abstract
Stabilizer states are a prime resource for a number of applications in quantum information science, such as secret-sharing and measurement-based quantum computation. This motivates us to study the entanglement of noisy stabilizer states across a bipartition. We show that the spectra of the corresponding reduced states can be expressed in terms of properties of an associated stabilizer code. In particular, this allows us to show that the coherent information is related to the so-called syndrome entropy of the underlying code. We use this viewpoint to find stabilizer states that are resilient against noise, allowing for more robust entanglement distribution in near-term quantum networks. We specialize our results to the case of graph states, where the found connections with stabilizer codes reduces back to classical linear codes for dephasing noise. On our way we provide an alternative…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Quantum Computing Algorithms and Architecture · Cellular Automata and Applications
