PIRSA:22010072

Video URL

https://pirsa.org/22010072

Conservation laws and quantum error correction

Brown, B. (2022). Conservation laws and quantum error correction. Perimeter Institute for Theoretical Physics. https://pirsa.org/22010072

Brown, Benjamin. Conservation laws and quantum error correction. Perimeter Institute for Theoretical Physics, Jan. 17, 2022, https://pirsa.org/22010072 

          @misc{ scivideos_PIRSA:22010072,
            doi = {10.48660/22010072},
            url = {https://pirsa.org/22010072},
            author = {Brown, Benjamin},
            keywords = {Quantum Information},
            language = {en},
            title = {Conservation laws and quantum error correction},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2022},
            month = {jan},
            note = {PIRSA:22010072 see, \url{https://scivideos.org/pirsa/22010072}}
          }

Benjamin Brown University of Sydney

Talk numberPIRSA:22010072
DOI10.48660/22010072
Source RepositoryPIRSA
Collection
Talk Type Scientific Series
Subject

Abstract

A quantum error-correcting code depends on a classical decoding algorithm that uses the outcomes of stabilizer measurements to determine the error that needs to be repaired. Likewise, the design of a decoding algorithm depends on the underlying physics of the quantum error-correcting code that it needs to decode. The surface code, for instance, can make use of the minimum-weight perfect-matching decoding algorithm to pair the defects that are measured by its stabilizers due to its underlying charge parity conservation symmetry. In this talk I will argue that this perspective on decoding gives us a unifying principle to design decoding algorithms for exotic codes, as well as new decoding algorithms that are specialised to the noise that a code will experience. I will describe new decoders for exotic fracton codes we have designed using these principles. I will also discuss how the symmetries of a code change if we focus on restricted noise models, and how we have leveraged this observation to design high-threshold decoders for biased noise models. In addition to these examples, this talk will focus on recent work on decoding the color code, where we found a high-performance decoder by investigating the defect conservation laws at the boundaries of the color code. Remarkably, our results show that we obtain an advantage by decoding this planar quantum error-correcting code by matching defects on a manifold that has the topology of a Moebius strip.

Zoom Link: https://pitp.zoom.us/j/91540245974?pwd=RDkzaVJZZ2tkTldxM2pkdXU5VHlIZz09