Palestra: Matheus Andrade (UMass) - Quantum Network Tomography

Palestrante:
Matheus Guedes de Andrade, Aluno de Doutorado, Universidade de Massachusetts Amherst (UMass), EUA

Moderador:
Prof. Daniel Ratton Figueiredo (UFRJ)

Título:
Quantum Network Tomography

Dia/horário/local:
20 de dezembro (quarta), 10:30, Sala H-324B
Canal do PESC no YouTube

Resumo:
Quantum networks are systems formed by the interconnection of quantum processors with quantum channels. Understanding how noise corrupts quantum information during communication through a network is of paramount importance to the development of efficient networking algorithms. Moreover, error bias description can improve the performance of error decoders. In this talk, I will introduce the quantum network tomography problem, where nodes perform end-to-end error characterization of quantum channels. We will explore star-shaped networks and derive estimators for parameters characterizing Pauli channels. The presentation covers previously published results [1], as well as recent developments.

[1] de Andrade, Matheus Guedes, et al. "On the Characterization of Quantum Flip Stars with Quantum Network Tomography", IEEE International Conference on Quantum Computing and Engineering (QCE), 2023

Bio resumida:
Matheus is a CS PhD candidate at UMass Amherst, working with professor Don Towsley in Quantum Networks. His research interests are Distributed Quantum Computing, Quantum Network Tomography and Graph States. Matheus has a Bachelors and a Master degree in Systems and Computer Engineering from the Federal University of Rio de Janeiro.