research
∙
06/19/2023
Enhancing variational quantum state diagonalization using reinforcement learning techniques
The development of variational quantum algorithms is crucial for the app...
share
research
∙
05/12/2022
Equivariant quantum circuits for learning on weighted graphs
Variational quantum algorithms are the leading candidate for near-term a...
research
∙
10/25/2021
Quantum machine learning beyond kernel methods
With noisy intermediate-scale quantum computers showing great promise fo...
research
∙
05/06/2020
Towards quantum advantage for topological data analysis
A particularly promising line of quantum machine leaning (QML) algorithm...
research
∙
03/04/2015
