3 papers
quant-ph2026
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-ph2025
Perspectives on Utilization of Measurements in Quantum Algorithms
Valter Uotila, Ilmo Salmenperä, Leo Becker +3
Measurement is a fundamental operation in quantum computing and has many important use cases in quantum algorithms. This article provides a comprehensive overview of the basic meas…
quant-ph2025
Optimizing State Preparation for Variational Quantum Regression on NISQ Hardware
Frans Perkkola, Ilmo Salmeperä, Arianne Meijer-van de Griend +3
The execution of quantum algorithms on modern hardware is often constrained by noise and qubit decoherence, limiting the circuit depth and the number of gates that can be executed.…