Nature Communications (Jan 2023)

The learnability of Pauli noise

  • Senrui Chen,
  • Yunchao Liu,
  • Matthew Otten,
  • Alireza Seif,
  • Bill Fefferman,
  • Liang Jiang

DOI
https://doi.org/10.1038/s41467-022-35759-4
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 8

Abstract

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Characterisation of quantum hardware requires clear indications on what can and cannot be learned about quantum noise. Here, the authors show how to characterise learnable degrees of freedom of a Clifford gate using tools from algebraic graph theory.