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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