On the Characterization of Quantum Flip Stars with Quantum Network Tomography

Matheus Guedes De Andrade, Jake Navas, Inès Montaño, Don Towsley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The experimental realization of quantum information systems will be difficult due to how sensitive quantum information is to noise. Overcoming this sensitivity is central to designing quantum networks capable of transmitting quantum information reliably over large distances. Moreover, the ability to characterize communication noise in quantum networks is crucial in developing network protocols capable of overcoming the effects of noise in quantum networks. In this context, quantum network tomography refers to the characterization of channel noise in a quantum network through end-to-end measurements. In this work, we propose network tomography protocols for quantum star networks formed by quantum channels characterized by a single, non-trivial Pauli operator. Our results further the end-to-end characterization of quantum bit-flip star networks by introducing tomography protocols where state distribution and measurements are designed separately. We build upon previously defined quantum network tomography protocols, as well as provide novel methods for the unique characterization of bit-flip probabilities in stars. We introduce a theoretical benchmark based on the Quantum Fisher Information matrix to compare the efficiency of quantum network protocols. We apply our techniques to the protocols proposed, and perform an initial analysis on the potential benefits of entanglement for Quantum Network Tomography. Furthermore, we simulate the protocols using N etSquid to assess the convergence properties of the estimators obtained for particular parameter regimes. Our findings show that the efficiency of protocols depend on parameter values and motivate the search for adaptive quantum network tomography protocols.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023
EditorsHausi Muller, Yuri Alexev, Andrea Delgado, Greg Byrd
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1260-1270
Number of pages11
ISBN (Electronic)9798350343236
DOIs
StatePublished - 2023
Event4th IEEE International Conference on Quantum Computing and Engineering, QCE 2023 - Bellevue, United States
Duration: Sep 17 2023Sep 22 2023

Publication series

NameProceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023
Volume1

Conference

Conference4th IEEE International Conference on Quantum Computing and Engineering, QCE 2023
Country/TerritoryUnited States
CityBellevue
Period9/17/239/22/23

Keywords

  • Quantum Fisher Information
  • Quantum Network Tomography
  • Quantum Networks
  • Quantum Parameter Estimation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Theoretical Computer Science
  • Atomic and Molecular Physics, and Optics
  • Computer Science (miscellaneous)

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