2 papers
quant-ph2025
Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
Valter Uotila, Väinö Mehtola, Ilmo Salmenperä +1
Symmetry is a strong inductive bias in geometric deep learning and its quantum counterpart, and has attracted increasing attention for improving the trainability of QML models. Yet…
quant-ph2024
The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs
Ilmo Salmenperä, Ilmars Kuhtarskis, Arianne Meijer van de Griend +1
Designing a useful feature map for a quantum kernel is a critical task when attempting to achieve an advantage over classical machine learning models. The choice of circuit archite…