Skip to content

Latest commit

 

History

History
91 lines (62 loc) · 3.12 KB

ArturDomingues.md

File metadata and controls

91 lines (62 loc) · 3.12 KB

ARTUR VENTURELLI DOMINGUES

Email: [email protected] or [email protected]
Github: https://github.com/ArturDomingues
LinkedIn: https://www.linkedin.com/in/artur-domingues-a39963122


PROFILE

I am a quantum machine learning and quantum control researcher currently pursuing a Master's degree at IFSC-USP. My research focuses on utilizing diverse machine learning techniques for optimal control of NV color centers, blending simulated and real environments. I am well-versed in the latest technologies in the field.


EDUCATION

Instituto de Física de São Carlos - USP

  • 2017-2020: Bachelor in Physics
  • 2021-present: Master of Science in Quantum Machine Learning

EXPERIENCES

2019-2020
IFSC-USP Quantum Information Group (GIQ)

  • Explored quantum information theory basics
  • Conducted an undergraduate thesis on using quantum entanglement for quantum teleportation

2021-now
IFSC-USP Optics Group "Milton Ferreira Souza" (GO/CePOF)

  • Pursuing Master's in Quantum Machine Learning
  • Researching simulation and quantum control of NV centers
  • Investigating the potential of qubits, particularly NV centers

SKILLS

  • Strong understanding of quantum machine learning and quantum simulation technologies
  • Proficient in Python, Scikit-learn, TensorFlow, CUDA Toolkit, Qiskit, Pennylane, Cirq, TensorFlow Quantum, Numpy, Seaborn/Matplotlib, Pandas
  • Basic knowledge in C, Fortran, Julia, and Rust
  • Familiar with Powershell, Bash, and Zsh
  • Proficient in Windows and Manjaro (WSL)
  • Experience with VS Code, Neovim, PyCharm, Canva, and Office Package

LANGUAGES

  • Native in Portuguese, Fluent in English
  • Intermediate in German, Beginner in Spanish and Chinese

EXTRACURRICULAR ACTIVITIES

Organizing Committee of SIFSC

  • Integrated Week of Undergraduate and Graduate Studies at the Institute of Physics of São Carlos - 2018
  • Responsible for the evaluation subcommittee

COURSES AND CONFERENCES

  • NeurIPS 2021
  • QHack 2022
  • IBM Qiskit Global Summer School 2022
  • São Paulo School of Advanced Science on Quantum Fluids and Applications 2022
  • II IFGW - Quantum Technologies School 2021
  • ICTP-SAIFR School on Quantum Computation 2022
  • IBM Quantum Spring Challenge 2022
  • Generative Pre-trained Transformers (GPT) - University of Glasgow 2024 (Coursera)
  • Trustworthy Generative AI - Vanderbilt University 2024 (Coursera)

REFERENCES

Professor Sérgio Muniz

Professor Diogo Pinto


LATTES CURRICULUM

Academic curriculum: http://lattes.cnpq.br/1700246579118498