2 papers
quant-ph2026
Complexity of Normalized Persistence Problems for Topological Data Analysis and Local Hamiltonians
Dominic Lowe, M. S. Kim, Roberto Bondesan +1
Topological data analysis (TDA) is a machine learning technique that uses topology to extract patterns from data and has shown the potential to exhibit quantum advantage. A key con…
quant-ph2025
Assessing Quantum Advantage for Gaussian Process Regression
Dominic Lowe, M. S. Kim, Roberto Bondesan
Gaussian Process Regression is a well-known machine learning technique for which several quantum algorithms have been proposed. We show here that in a wide range of scenarios these…