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Quantum computing (QC) is at the cusp of a revolution. Machines with 100quantum bits (qubits) are anticipated to be operational by 2020[googlemachine,gambetta2015building], and several-hundred-qubit machines arearound the corner. Machines of this scale have the capacity to demonstratequantum supremacy, the tipping point where QC is faster than the fastestclassical alternative for a particular problem. Because error correctiontechniques will be central to QC and will be the most expensive component ofquantum computation, choosing the lowest-overhead error correction scheme iscritical to overall QC success. This paper evaluates two established quantumerror correction codes---planar and double-defect surface codes---using a setof compilation, scheduling and network simulation tools. In consideringscalable methods for optimizing both codes, we do so in the context of a fullmicroarchitectural and compiler analysis. Contrary to previous predictions, wefind that the simpler planar codes are sometimes more favorable forimplementation on superconducting quantum computers, especially underconditions of high communication congestion.

Optimized Surface Code Communication in Superconducting Quantum Computers