Leiden University Scholarly Publications

Hybrid divide-and-conquer approach for tree search algorithms

Certificates of quantum many-body properties assisted by machine learning

Structural risk minimization for quantum linear classifiers

Performance comparison of optimization methods on variational quantum algorithms

Towards quantum advantage via topological data analysis

Quantum learning unravels quantum system

Quantum agents in the Gym

Hyperparameter importance of quantum neural networks across small datasets

On solving classes of positive-definite quantum linear systems with quadratically improved runtime in the condition number

Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer

Parametrized quantum policies for reinforcement learning

To quantum or not to quantum

Machine learning & artificial intelligence in the quantum domain: a review of recent progress

Computational speedups using small quantum devices

Faster quantum mixing for slowly evolving sequences of Markov chains

Long-range big quantum-data transmission

Active learning machine learns to create new quantum experiments