Foundations of Quantum Computing and Variational Quantum Circuits for Time Series Analysis

• Grant number: 25/23316-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2026
• End date: March 31, 2027
• Field of knowledge: Physical Sciences and Mathematics - Physics - General Physics
• Principal Investigator: Felipe Fernandes Fanchini
• Grantee: Victor Hugo Schucht
• Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil

Abstract

This undergraduate research project investigates the application of Variational Quantum Classifiers (VQC) for the detection of arrhythmia and myocardial infarction in electrocardiogram (ECG) signals. A study of the foundations of quantum computing (qubits, composite states, gates, and circuits) and practical learning of the Qiskit and PennyLane frameworks will be conducted. The research will explore classical data encoding methods and the development of parameterized quantum circuit architectures (ansatz) for quantum machine learning (QML). Variational classifier prototypes will be developed, and their performance will be evaluated against classical baseline models, such as SVM and MLP. The comparative analysis will consider metrics such as accuracy, F1-score, and AUROC, while also assessing the impact of noise and decoherence on model performance using simulators of NISQ-era devices. (AU)