paper

Quantum Instruction Set Design for Performance

arXiv:2105.06074 · doi:10.1103/PhysRevLett.130.070601

Abstract

A quantum instruction set is where quantum hardware and software meet. We develop new characterization and compilation techniques for non-Clifford gates to accurately evaluate different quantum instruction set designs. We specifically apply them to our fluxonium processor that supports mainstream instruction by calibrating and characterizing its square root . We measure a gate fidelity of up to with an average of and realize Haar random two-qubit gates using with an average fidelity of . This is an average error reduction of for the former and a reduction for the latter compared to using on the same processor. This shows designing the quantum instruction set consisting of and single-qubit gates on such platforms leads to a performance boost at almost no cost.

2 figures in main text and 21 figures in Supplementary Materials. This manuscript subsumes version 1 with significant improvements such as experimental demonstration and materials presentation

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