Bulletin of the American Physical Society
APS March Meeting 2024
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session M49: Decoders for Quantum Error Correction
8:00 AM–10:36 AM,
Wednesday, March 6, 2024
Room: 200G
Sponsoring
Unit:
DQI
Chair: Edward Chen, IBM Research
Abstract: M49.00004 : Scaling Hardware-Based Quantum Error Correction via a Multi-Context Approach*
9:00 AM–9:12 AM
Presenter:
Jan-Erik R Wichmann
(RIKEN Center for Computational Science)
Authors:
Jan-Erik R Wichmann
(RIKEN Center for Computational Science)
Maximilian J Heer
(RIKEN Center for Computational Science)
Kentaro Sano
(RIKEN Center for Computational Science)
Here we present a way to reduce hardware ressource consumption by using a multi-context approach, trading hardware ressources for execution time. By saving some state of the error decoder in memory, we avoid time consuming network connections, which would otherwise be required to overcome the limitations of a single FPGA chip. The technique we are presenting is developed with our own approach to the Union-Find algorithm in mind [2], but is sufficiently general to be used with all algorithms which work on decoder graphs with limited connectivity.
[1] N. Liyanage et al., Scalable quntum error correction for surface codes using FPGA (IEEE FCCM, Marina Del Rey, CA, USA 2023)
[2] M. Heer el al., Novel union-find-based decoders for scalable quantum error correction on systolic arrays (IEEE IPDPSW, St. Petersburg, FL, USA 2023)
*This work was partially supported by the JST Moonshot R&D Grant Number JPMJMS226A.
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