54 citations · 54 across the 1 of their papers we have counts for
3 papers
Reinforcement learning for optimization of variational quantum circuit architectures
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk +2
The study of Variational Quantum Eigensolvers (VQEs) has been in the spotlight in recent times as they may lead to real-world applications of near-term quantum devices. However, th…
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…