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Friday, October 29, 2021
11:00 AM - 12:00 PM
Online Event

IQIM Postdoctoral and Graduate Student Seminar

Improved quantum error correction using soft information

Abstract: The typical model for measurement noise in quantum error correction is to randomly flip the binary measurement outcome. In experiments, measurements yield much more information - e.g., continuous current values, discrete photon counts which is then mapped into binary outcomes. In this talk I will present a method to include this information into the decoding of surface codes. I will review hard decoding of surface codes and then describe a soft syndrome decoding version of Minimum Weight Perfect Matching decoder. I will then use our soft syndrome decoders to show the benefits of tuning experimental parameters with quantum error correction in mind.

Attend by zoom at

For more information, please contact Marcia Brown by phone at 626-395-4013 or by email at