QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation

Oral-In-person

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.

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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

  • Efekan Kökcü

    • Lawrence berkeley National Laboratory

  • Ermal Rrapaj

    • University of California, Berkeley

  • Costin Iancu

    • Lawrence Berkeley National Laboratory

  • Gushu Li

    • University of Pennsylvania