281st RQC Seminar

  • 講演者

    Prof. Dr. Felix Motzoi
    ( Forschungszentrum Jülich )

  • 日程

    2026年6月15日(月), 13:10 - 14:10(1:10 p.m.-2:10 p.m.)

  • 開催場所

    ハイブリッド（Zoom,
    345-347 Seminar Room, 3F, Main Research Building, Wako Campus / 和光地区 研究本館3階 セミナー室 (345-347) (C01))

  • 講演タイトル

    Learning how to calibrate quantum processors

  • お問合せ

    norilab_rqc_assist[at]ml.riken.jp

講演概要
In this talk, I will discuss progress towards streamlining the optimization of quantum dynamics affecting other layers of the computing stack. Given operations that must be repeated in time, typically parameterized by variables up and down the stack, we aim to automatically learn the performance landscape, particularly near the optima peaks. These learning tasks thus encompass both prescribing behaviour of operations as a function of the (control, state, parameter) search spaces, as well as inverting the optimization problem as a function of stack parameters [1]. These inter-layer functional dependencies can be captured using automatically differentiable computer algebra [2], and more generally using supervised and unsupervised (reinforcement [3]) learning methods.

[1] PRXQ 3, 040311 (2022); [2] PRQ 3, 030313 (2022); [3] NPJQI 6, 6 (2020), Quantum 8, 1343 (2024), arXiv:2509.03974 (2025).

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