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Below you can find a summary of my professional background.

Basics

Name Pedro Figueroa Romero
Summary Theoretical Physicist / Quantum Information Scientist
Email pedrofigueroarom@gmail.com

Work

  • 2025.05 - Present

    Sydney, Australia

    QCVV Scientist
    Silicon Quantum Computing
    Development, testing and implementation of noise characterisation and mitigation strategies on near-term silicon quantum computers.
  • 2022.05 - 2025.05

    Munich, Germany

    (Senior) Quantum Engineer
    IQM Quantum Computers
    Scientific research, collaborative coding, technical guidance and mentoring, and advising strategic decisions regarding full-stack benchmarks and benchmarking standards
    • Quantum Characterization, Verification and Validation (QCVV) theory and implementation.
    • Scientific Research
    • Collaborative Coding
  • 2021.03 - 2022.04

    Taipei, Taiwan

    Postdoctoral Researcher
    Foxconn Technology Group
    Research on characterization and benchmarking of quantum devices with temporally-correlated noise.
  • 2017.04 - 2021.02

    Melbourne, Australia

    Doctoral Researcher
    Monash University
    Research on the emergence and typicality of memorylessness in quantum stochastic processes

Education

  • 2017.04 - 2021.02

    Melbourne, Australia

    PhD
    Monash University
    Physics (Quantum Information Science - Theory)
    • Thesis: Equilibration and Typicality in Quantum Processes
    • Supervision: Prof. Kavan Modi & Dr. Felix A. Pollock
  • 2015.09 - 2016.05

    Edinburgh, Scotland

    MSc
    The University of Edinburgh
    Mathematical Physics
    • Dissertation: Feynman diagram generation for color-kinematics duality
    • Supervision: Prof. Donal O'Connell
  • 2010.09 - 2014.09

    Mexico City, México

    BSc
    Universidad Autónoma Metropolitana
    Física
    • Thesis: La geometría de los espacios (A)dS
    • Supervision: Prof. Román Linares Romero

Teaching

  • 2021.09 - 2022.04

    Taipei, Taiwan

    Project supervisor
    Foxconn Technology Group
    Leading project with Mr. Shih-Xian Yang (currently PhD candidate at INFN in Bari, Italy)
    • Investigating application of machine learning with tensor network techniques for randomized benchmarking.
  • 2017.11 - 2020.07

    Melbourne, Australia

    Teaching Associate
    Monash University
    Tutoring, planning and marking for undergraduate physics courses.

Languages

Spanish
Native speaker
English
Fluent
French
Intermediate (B2)
German
Basic/Intermediate (B1)