Quantum Network Tomography

• URL: http://arxiv.org/abs/2405.11396v1
• Date: Sat, 18 May 2024 21:24:52 GMT
• Title: Quantum Network Tomography
• Authors: Matheus Guedes de Andrade, Jake Navas, Saikat Guha, Inès Montaño, Michael Raymer, Brian Smith, Don Towsley,
• Abstract summary: We provide an overview of Quantum Network Tomography (QNT) and its initial results for characterizing quantum star networks. We apply a previously defined QNT protocol for estimating bit-flip channels to estimate depolarizing channels. We analyze the performance of our estimators numerically by assessing the Quantum Cramer-Rao Bound (QCRB) and the Mean Square Error (MSE) in the finite sample regime.
• Score: 7.788995634397122
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Errors are the fundamental barrier to the development of quantum systems. Quantum networks are complex systems formed by the interconnection of multiple components and suffer from error accumulation. Characterizing errors introduced by quantum network components becomes a fundamental task to overcome their depleting effects in quantum communication. Quantum Network Tomography (QNT) addresses end-to-end characterization of link errors in quantum networks. It is a tool for building error-aware applications, network management, and system validation. We provide an overview of QNT and its initial results for characterizing quantum star networks. We apply a previously defined QNT protocol for estimating bit-flip channels to estimate depolarizing channels. We analyze the performance of our estimators numerically by assessing the Quantum Cram\`er-Rao Bound (QCRB) and the Mean Square Error (MSE) in the finite sample regime. Finally, we provide a discussion on current challenges in the field of QNT and elicit exciting research directions for future investigation.

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