212 citations · 712 across the 23 of their papers we have counts for
5 papers · 1 filter
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation
Arjan Cornelissen, Yassine Hamoudi, Sofiene Jerbi
We propose the first near-optimal quantum algorithm for estimating in Euclidean norm the mean of a vector-valued random variable with finite mean and covariance. Our result aims at…
Quantum machine learning beyond kernel methods
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup +3
Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of q…
Quantum algorithms for multivariate Monte Carlo estimation
Arjan Cornelissen, Sofiene Jerbi
We consider the problem of estimating the expected outcomes of Monte Carlo processes whose outputs are described by multidimensional random variables. We tightly characterize the q…
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
Andrea Skolik, Sofiene Jerbi, Vedran Dunjko
Quantum machine learning (QML) has been identified as one of the key fields that could reap advantages from near-term quantum devices, next to optimization and quantum chemistry. R…
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall +2
With the advent of real-world quantum computing, the idea that parametrized quantum computations can be used as hypothesis families in a quantum-classical machine learning system i…