Quantum Network Tomography

Matheus Guedes De Andrade, Jake Navas, Saikat Guha, Ines Montano, Michael Raymer, Brian Smith, Don Towsley

Research output: Contribution to journalArticlepeer-review


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 Cramèr-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.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalIEEE Network
StateAccepted/In press - 2024


  • Circuits
  • Estimation
  • Noise
  • Protocols
  • Quantum networks
  • Quantum state
  • Tomography

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications


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