Quantum Computing Researcher
Theoretical physicist specializing in quantum computation with superconducting qubits. Currently pursuing a Ph.D. in Quantum Computation at UFSCar, focusing on advanced quantum circuit design and machine learning applications.
Federal University of São Carlos
Focusing on quantum computation with superconducting qubits. Researching Hamiltonian engineering techniques and neural network applications for quantum control.
Funding: CNPq Grant 140001/2023-9
Federal University of São Carlos
Dissertation: Quantum transistor using superconducting qubits
Advisor: Celso Jorge Villas-Bôas
Funding: CAPES Grant 88887.512104/2020-00
Federal University of São Carlos
Final Project: Optical bistability in two level atoms in optical cavities
Physics Graduate Program, UFSCar
Physics Graduate Program, UFSCar
São Paulo Research Foundation (FAPESP)
Neural networks as surrogate models for partial differential equations
Funding: FAPESP Grant 19/04018-8
Authors: Chang-Kang Hu, Jiahao Yuan, Bruno A. Veloso, Jiawei Qiu, Yuxuan Zhou, Libo Zhang, Ji Chu, Orkesh Nurbolat, Ling Hu, Jian Li, Yuan Xu, Youpeng Zhong, Song Liu, Fei Yan, Dian Tan, R. Bachelard, Alan C. Santos, C. J. Villas-Boas, Dapeng Yu
Citation: PRApplied 20, 034072 (2023)
🔗 View PublicationAuthors: Bruno A. Veloso, Ciro M. Diniz, Luiz O. R. Solak, Antonio S. M. de Castro, Daniel Z. Rossatto, Celso J. Villas-Bôas
Institution: Federal University of São Carlos
Author: Bruno A. Veloso
Advisor: Celso J. Villas-Bôas
Year: 2022
📄 Access DissertationJournal: Physical Review A (2021 - Present)
Active reviewer contributing to the quantum physics community through peer review of scientific manuscripts.
Event: IEEE Chapter Minicourse
Date: 10/10/2025 — USP São Carlos 📄 View Work
Event: SQA Conference – Delft
Date: 2025 — Poster Session in Delft, Netherlands 📄 View Work
This poster presents a scalable superconducting circuit for universal continuous-variable quantum computation, with designs compatible with current hardware and fidelities > 90% between total and effective Hamiltonians.
Event: SPIE Chapter Minicourse
Date: 2025 — ▶️ Watch on YouTube
Hands-on introduction to quantum circuits using IBM Qiskit, covering basic gates, measurements and algorithmic structure in the Qiskit platform.
Event: UFV Graduate Symposium
Date: November 2021 — 📄 View Work
Online presentation and poster submission about the quantum transistor using superconducting qubits. The work was awarded as one of the best presented at the event.
Event: SIFISC Conference
Date: September 2021 — 📄 View Poster
Poster submission and live presentation at the SIFISC conference. The work was selected as one of the three best presented.
Implementation of quantum computation using physical systems and development of quantum algorithms.
Practical applications of quantum theoretical principles in modern technological contexts.
Integration of machine learning techniques with quantum computing systems and quantum machine learning.
Best presentation awards at UFV Graduate Symposium (2021) and SIFISC Conference (2021).