CV

Education

• Integrated MSc in Engineering Physics, University of Minho, 2021
• PhD in Informatics, University of Minho, 2026 (expected)

Projects

• MSc Thesis: Ansätze for Noisy Variational Quantum Eigensolvers
  • Supervisors: Raffaele Santagati, Ernesto Galvão, Mikhail Vasilevskiy
  • Description: Studied and implemented multiple variational quantum algorithms for quantum chemistry (electronic structure problem), with a focus on ADAPT-VQE (multiple variants). Ran these algorithms in real devices and via simulation, and studied their noise-resilicence properties using Qiskit’s noise module.
• PhD Dissertation: On the Quest for Shallow, Accurate, and Cost-Efficient Ansätze for Variational Quantum Algorithms (ongoing)
  • Supervisors: Luís Paulo Santos, Ernesto Galvão
  • Goals: Studying and developing new NISQ-friendly algorithms for optimization tasks, for quantum chemistry and classical combinatorial optimization problems.

Skills

• Programming languages
  • Proficient: Python
  • Familiar: C, Assembly, R, Java, Haskell, Matlab
• Software
  • Qiskit
  • CIRQ
  • OpenFermion
• Languages
  • Native: Portuguese
  • Fluent: English
  • Basic knowledge: French, Spanish, Italian

Distinctions

• Excellence Scholarship Prize in the 2^nd, 4^th, 5^th years of the Integrated Master’s degree in Physics Engineering
• Scholarship ”New Talents in Quantum Technologies” (Gulbenkian Foundation) in 2020/21