1 citations · 1 across the 2 of their papers we have counts for
3 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 feedback algorithms for DNA assembly using FALQON variants
Pedro M. Prado, Lucas A. M. Rattighieri, Rafael Simões do Carmo +6
Reconstructing DNA sequences without a reference, known as de novo assembly, is a complex computational task involving the alignment of overlapping fragments. To address this probl…
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…