@inproceedings{f78f272e39fa474db8653049d8758f7f,
title = "Optimized surface code communication in superconducting quantum computers",
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.",
keywords = "Design-space exploration, ECC, Quantum computing",
author = "Ali Javadi-Abhari and Pranav Gokhale and Adam Holmes and Diana Franklin and Brown, \{Kenneth R.\} and Margaret Martonosi and Chong, \{Frederic T.\}",
note = "Funding Information: This work was funded in part by Los Alamos National Laboratory and the U.S. Department of Defense under subcontract 431682, by NSF PHY grant 1660686, and by a research gift from Intel Corporation.; 50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017 ; Conference date: 14-10-2017 Through 18-10-2017",
year = "2017",
month = oct,
day = "14",
doi = "10.1145/3123939.3123949",
language = "American English",
series = "Proceedings of the Annual International Symposium on Microarchitecture, MICRO",
publisher = "IEEE Computer Society",
pages = "692--705",
booktitle = "MICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings",
address = "United States",
}