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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Quantum Instruction Set Design for Performance.

Cupjin Huang1, Tenghui Wang2, Feng Wu2

  • 1Alibaba Quantum Laboratory, Alibaba Group USA, Bellevue, Washington 98004, USA.

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Summary
This summary is machine-generated.

We improved quantum computing performance by replacing the iSWAP gate with its square root, SQiSW. This significantly reduces errors in quantum operations and enhances gate fidelity for fluxonium processors.

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Area of Science:

  • Quantum Computing
  • Quantum Hardware-Software Interface

Background:

  • Quantum instruction sets bridge quantum hardware and software.
  • Efficient characterization and compilation of non-Clifford gates are crucial for evaluating quantum processor designs.

Purpose of the Study:

  • To develop and apply techniques for characterizing non-Clifford gates.
  • To evaluate the performance impact of replacing the iSWAP gate with its square root (SQiSW) on a fluxonium processor.

Main Methods:

  • Development of characterization and compilation techniques for non-Clifford gates.
  • Application of these techniques to a fluxonium quantum processor.
  • Measurement of gate fidelity for SQiSW and Haar random two-qubit gates.

Main Results:

  • SQiSW gate fidelity measured up to 99.72% (average 99.31%).
  • Average fidelity of 96.38% for Haar random two-qubit gates realized using SQiSW.
  • Significant error reduction: 41% for SQiSW and 50% for two-qubit gates compared to iSWAP.

Conclusions:

  • Replacing iSWAP with SQiSW offers a significant performance boost for fluxonium processors.
  • The SQiSW gate provides higher fidelity and lower error rates in quantum operations.
  • Optimized gate implementations are key to advancing quantum hardware and software integration.