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Optimized surface code communication in superconducting quantum computers

Author(s): Javadi-Abhari, Ali; Gokhale, P; Holmes, A; Franklin, D; Brown, KR; et al

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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.
Publication Date: 14-Oct-2017
Electronic Publication Date: 2017
Citation: Javadi-Abhari, A, Gokhale, P, Holmes, A, Franklin, D, Brown, KR, Martonosi, M, Chong, FT. (2017). Optimized surface code communication in superconducting quantum computers. Part F131207 (692 - 705. doi:10.1145/3123939.3123949
DOI: doi:10.1145/3123939.3123949
Pages: 692 - 705
Type of Material: Conference Article
Journal/Proceeding Title: Proceedings of the Annual International Symposium on Microarchitecture, MICRO
Version: Author's manuscript

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