QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation

ORAL

Abstract

Analog quantum simulation leverages native hardware dynamics to emulate complex quantum systems with great efficiency by bypassing the quantum circuit abstraction. However, conventional compilation methods for analog simulators are typically labor-intensive, prone to errors, and computationally demanding. This paper introduces QTurbo, a powerful analog quantum simulation compiler designed to significantly enhance compilation efficiency and optimize hardware execution time. By generating precise and noiseresilient pulse schedules, our approach ensures greater accuracy and reliability, outperforming the existing state-of-theart approach.

*This work was supported in part by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research under Contract No. DE-AC05-00OR22725 through the Accelerated Research in Quantum Computing Program MACH-Q project, the U.S. National Science Foundation CAREER Award No. CCF-2338773, and ExpandQISE Award No. OSI 2427020. GL was also supported by the Intel Rising Star Award. ER was supported by the U.S. Department of Energy (DOE) under Contract No. DE-AC02-05CH11231, through the National Energy Research Scientific Computing Center (NERSC), an Office of Science User Facility located at Lawrence Berkeley National Laboratory. EK and AM were supported by the U.S. Department of Energy (DOE) under Contract No. DE-AC02-05CH11231, through the Office of Advanced Scientific Computing Research Accelerated Research for Quantum Computing Program, FAR-QC.

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Publication: Junyu Zhou, Yuhao Liu, Shize Che, Anupam Mitra, Efekan Kökcü, Ermal Rrapaj, Costin Iancu, and Gushu Li. 2026. QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation. In Proceedings of the 31st ACM International Conference on Architectural
Support for Programming Languages and Operating Systems, Volume 1 (ASPLOS '26), March 22–26, 2026, Pittsburgh, PA, USA. ACM, New York, NY, USA, 16 pages. https://doi.org/10.1145/3760250.3762227

Presenters

  • Junyu Zhou

    • University of Pennsylvania

Authors

  • Junyu Zhou

    • University of Pennsylvania

  • Yuhao Liu

    • University of Pennsylvania

  • Shize Che

    • University of Pennsylvania

  • Anupam Mitra

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab

  • Efekan Kökcü

    • Lawrence berkeley National Laboratory
    • Lawrence Berkeley National Laboratory

  • Ermal Rrapaj

    • University of California, Berkeley

  • Costin C Iancu

    • Lawrence Berkeley National Laboratory

  • Gushu Li

    • University of Pennsylvania