Optimized surface code communication in superconducting quantum computers

Ali Javadi-Abhari, Pranav Gokhale, Adam Holmes, Diana Franklin, Kenneth R. Brown, Margaret Martonosi, Frederic T. Chong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Quantum computing (QC) is at the cusp of a revolution. Machines with 100 quantum bits (qubits) are anticipated to be operational by 2020 [30, 73], and several-hundred-qubit machines are around the corner. Machines of this scale have the capacity to demonstrate quantum supremacy, the tipping point where QC is faster than the fastest classical alternative for a particular problem. Because error correction techniques will be central to QC and will be the most expensive component of quantum computation, choosing the lowest-overhead error correction scheme is critical to overall QC success. This paper evaluates two established quantum error correction codes - planar and double-defect surface codes - using a set of compilation, scheduling and network simulation tools. In considering scalable methods for optimizing both codes, we do so in the context of a full microarchitectural and compiler analysis. Contrary to previous predictions, we find that the simpler planar codes are sometimes more favorable for implementation on superconducting quantum computers, especially under conditions of high communication congestion.

Original languageEnglish (US)
Title of host publicationMICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings
PublisherIEEE Computer Society
Pages692-705
Number of pages14
ISBN (Electronic)9781450349529
DOIs
StatePublished - Oct 14 2017
Event50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017 - Cambridge, United States
Duration: Oct 14 2017Oct 18 2017

Publication series

NameProceedings of the Annual International Symposium on Microarchitecture, MICRO
VolumePart F131207
ISSN (Print)1072-4451

Other

Other50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017
CountryUnited States
CityCambridge
Period10/14/1710/18/17

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

Keywords

  • Design-space exploration
  • ECC
  • Quantum computing

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  • Cite this

    Javadi-Abhari, A., Gokhale, P., Holmes, A., Franklin, D., Brown, K. R., Martonosi, M., & Chong, F. T. (2017). Optimized surface code communication in superconducting quantum computers. In MICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings (pp. 692-705). (Proceedings of the Annual International Symposium on Microarchitecture, MICRO; Vol. Part F131207). IEEE Computer Society. https://doi.org/10.1145/3123939.3123949