5 citations · 7 across the 4 of their papers we have counts for
4 papers
From Foundation ECG Models to NISQ Learners: Distilling ECGFounder into a VQC Student
Giovanni dos Santos Franco, Felipe Mahlow, Ellison Fernando Cardoso +1
Foundation models have recently improved electrocardiogram (ECG) representation learning, but their deployment can be limited by computational cost and latency constraints. In this…
Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection
Giovanni S. Franco, Felipe Mahlow, Pedro M. Prado +3
In this study, we present an innovative methodology to classify quantum phases within the ANNNI (Axial Next-Nearest Neighbor Ising) model by combining Quantum Machine Learning (QML…
Model-Independent Quantum Phases Classifier
Felipe Mahlow, Fabrício S. Luiz, André L. Malvezzi +1
Machine learning has revolutionized many fields of science and technology. Through the -Nearest Neighbors algorithm, we develop a model-independent classifier, where the algorit…
Non-Markovian memory in a measurement-based quantum computer
D. Filenga, F. Mahlow, F. F. Fanchini
We study the exact open system dynamics of single qubit gates during a measurement-based quantum computation considering non-Markovian environments. We obtain analytical solutions…