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Quantum Instruction Set Design for Performance

Cupjin Huang, Tenghui Wang, Feng Wu, Dawei Ding, Ye Qi, Linghang Kong, Fang Zhang, Xiaotong Ni, Zhijun Song, Yaoyun Shi, Hui‐Hai Zhao, Chunqing Deng, Jianxin Chen

2023Physical Review Letters50 citationsDOIOpen Access PDF

Abstract

A quantum instruction set is where quantum hardware and software meet. We develop characterization and compilation techniques for non-Clifford gates to accurately evaluate its designs. Applying these techniques to our fluxonium processor, we show that replacing the iSWAP gate by its square root SQiSW leads to a significant performance boost at almost no cost. More precisely, on SQiSW we measure a gate fidelity of up to 99.72% and averaging at 99.31%, and realize Haar random two-qubit gates 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 iSWAP on the same processor.

Topics & Concepts

QubitComputer scienceQuantum gateSet (abstract data type)Quantum Fourier transformArithmeticMeasure (data warehouse)Quantum circuitFidelityQuantumReduction (mathematics)Instruction setQuantum computerQuantum error correctionQuantum mechanicsPhysicsParallel computingMathematicsTelecommunicationsGeometryDatabaseProgramming languageQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata
Quantum Instruction Set Design for Performance | Litcius