Quantum Instruction Set Design for Performance
- Resource Type
- Working Paper
- Authors
- Huang, Cupjin; Wang, Tenghui; Wu, Feng; Ding, Dawei; Ye, Qi; Kong, Linghang; Zhang, Fang; Ni, Xiaotong; Song, Zhijun; Shi, Yaoyun; Zhao, Hui-Hai; Deng, Chunqing; Chen, Jianxin
- Source
- Subject
- Quantum Physics
- Language
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 $\mathrm{iSWAP}$ by calibrating and characterizing its square root $\mathrm{SQiSW}$. We measure a gate fidelity of up to $99.72\%$ with an average of $99.31\%$ and realize Haar random two-qubit gates using $\mathrm{SQiSW}$ with an average fidelity of $96.38\%$. This is an average error reduction of $41\%$ for the former and a $50\%$ reduction for the latter compared to using $\mathrm{iSWAP}$ on the same processor. This shows designing the quantum instruction set consisting of $\mathrm{SQiSW}$ and single-qubit gates on such platforms leads to a performance boost at almost no cost.
Comment: 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