RQC Colloquium

33rd RQC Colloquium

  • Speaker

    Prof. Dong Daoyi
    (Australian AI Institute, University of Technology Sydney, Australia)

  • Date

    16:00-17:00 (JST), April 4, 2025 (Friday)

  • Venue

    Hybrid (Zoom・Wako C61 Welfare and Conference Building, 2F Large Meeting Room)

  • Title

    Optimization and error analysis in quantum tomography, and quantum autoencoders

  • Inquiries

    rqc_colloquium_inquiry[at]ml.riken.jp

  • Registration Form

    https://krs2.riken.jp/m/rqc_registration_form

Abstract
Quantum technology is a promising future technologh where unique quantum characteristics are taken advantage of to develop faster computation, securer communication, and high-precision sensing than their classical (non-quantum) counterparts. Quantum tomography is a fundamental task for ddeveloping powerful quantum technology. In this talk, we will first introduce several results on optimization, adaptivity, and error analysis in quantum state tomography, quantum detector tomography, quantum Hamiltonian identification, and quantum process tomography. In particular, we will present several error bounds and show how to design adaptive algorithms to achieve optimal scaling. Then we will introduce learning control for quantum autoencoders which are an important tool for quantum data compression.
Flyer: 33rd RQC Colloquium Flyer

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