178 citations · 317 across the 32 of their papers we have counts for
3 papers · 1 filter
Quantum enhancements for deep reinforcement learning in large spaces
Sofiene Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup +2
In the past decade, the field of quantum machine learning has drawn significant attention due to the prospect of bringing genuine computational advantages to now widespread algorit…
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder +2
In recent years, the interest in leveraging quantum effects for enhancing machine learning tasks has significantly increased. Many algorithms speeding up supervised and unsupervise…
A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles
Yimin Ge, Vedran Dunjko
Recent works have shown that quantum computers can polynomially speed up certain SAT-solving algorithms even when the number of available qubits is significantly smaller than the n…