Diego Ferreira

Technical Lead in Quantum Computing
Inter Bank

ferreira@fisica.ufmg.br
diegobragaferreira@gmail.com
LinkedIn Profile

About Me

I am a Senior Research Specialist and Technical Lead at Inter Bank, where I am part of a multidisciplinary applied science team focused on Machine Learning, Generative AI, and Quantum Computing.

With a Ph.D. in Physics from UFMG, my expertise bridges theoretical rigor and industrial application. I specialize in developing Quantum Machine Learning (QML) algorithms for financial applications (such as fraud detection and portfolio optimization) and evolutionary coding agents. Previously, I worked as a Senior Data Engineer Consultant at EY.

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Recent Research & Productions

2025 - Industry & Applied Science

2025	CodeEvolve: An open source evolutionary coding agent for algorithm discovery and optimization Henrique Assumpção, Diego Ferreira, Leandro Campos, Fabricio Murai arXiv:2510.14150 AI Agent
2025	Hardware Efficient Framework for QAOA Thiago Assis, ..., Diego Ferreira, ..., Gabriel Coutinho Published at VIII WECIQ (Workshop-Escola de Computação e Informação Quântica) Quantum Hardware
2025	Evaluating Quantum Feature Maps for Credit Card Fraud Classification Pedro Albuquerque, Henrique Assumpção, Diego Ferreira, Gabriel Coutinho Published at VIII WECIQ QML / Finance

Academic Background (Physics)

2022	Quantum correlations, entanglement spectrum, and coherence of the two-particle reduced density matrix in the extended Hubbard model Diego L. B. Ferreira, Tiago O. Maciel, Reinaldo O. Vianna, Fernando Iemini arXiv:2111.00085 Phys. Rev. B 105, 115145
2022	Quantum Statistical Complexity Measure as a Signalling of Correlation Transitions André T. Cesário, Diego L. B. Ferreira, Tiago Debarba, Fernando Iemini, Thiago O. Maciel, Reinaldo O. Vianna arXiv:2002.01590 Entropy 24(8), 1161
2021	Determination of the critical exponents in dissipative phase transitions: coherent anomaly approach Jiasen Jin, Wen-Bin He, Fernando Iemini, Diego Ferreira, Ying-Dan Wang, Stefano Chesi, Rosario Fazio arXiv:2103.07255 Phys. Rev. B 104, 214301
2019	Probing Genuine Multipartite Entanglement in Large Systems Lucas B. Vieira, Diego L. Braga Ferreira, Thiago O. Maciel and Reinaldo O. Vianna arXiv:1911.04649
2018	Completely positive maps for reduced states of indistinguishable particles Leonardo da Silva Souza, Tiago Debarba, Diego L. Braga Ferreira, Fernando Iemini, and Reinaldo O. Vianna arXiv:1807.07175 Phys. Rev. A 98, 052135

What is a Tensor Network?

Quantum operators can be represented as a network of connected tensors, often involving some manipulation of these network in a way that the tensors are efficiently stored. This way high-dimensional data can be decomposed into smaller parts, with a neat graphical notation that can be used to explain and even make calculations. It is a very general framework, with applications in Mathematics, Quantum Information and the study of Quantum Entanglement, Machine Learning etc.

A zoo of quantum algorithms exists to this date, generally representing a target dimension (1D, 2D, ...) and a variational renormalization procedure or some time evolution algorithm in real or imaginary time. Powerful numerical simulations can be derived in such framework, giving a basis to many studies in various fields and some neat ideas. A novel of such algorithms drive the field of many-body systems pushing the limits of what systems can be study, as well as models in Quantum Field Theory and General Relativity, e. g. Quantum Gravity and Holography.

What do I do in my free time?

I also like to code in typescript and make web apps (you can test a tensor network visualization tool here), to do electronics projects, to play guitar and to go walking while listening to music.