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yrsobrinho/README.md

✦ Yasmin Sobrinho

Hello! I'm an undergraduate researcher in Quantum Machine Learning at the Recogna Laboratory, where I work on hybrid quantum-classical models applied to medical imaging. My current projects explore quantum convolutional layers, feature-fusion strategies, and efficient architectures aimed at improving breast cancer detection with fewer parameters than classical models. I am also pursuing a degree in Information Systems at São Paulo State University (UNESP).

Curiosity has guided my academic path since the beginning. I enjoy learning, experimenting, and tackling challenges that require creativity and technical depth. I am motivated by the possibility of contributing to meaningful applications of quantum technologies and by the long-term impact that research can have in medicine and beyond.

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  1. BreastCancerQuanvolution BreastCancerQuanvolution Public

    This repository contains the official implementation of the paper: “A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions”, accepted at the IEEE CBMS 2025. Our approach in…

    Jupyter Notebook 5 1

  2. PasqalQuantumChallenge PasqalQuantumChallenge Public

    Forked from pasqal-io/Pasqal_Hackathon_Feb25_Team_01

    A multimodal Quantum AI solution leveraging Quanvolutions on Analog Quantum Computers to integrate clinical and imaging data within a Graph Neural Network (GNN) for treatment effectiveness verifica…

    Jupyter Notebook 1