Quantum machine learning

We use reinforcement learning techniques to optimize the Quantum Approximate Optimization Algorithm when applied to the MaxCut problem. We explore Q-learning based techniques both for continuous and discrete action environments with regular and irregular graphs.

Country

Spain

Related Organizations

Keywords

Quantum Approximate Optimization Algorithm, Màxim Tall., Ordinadors quàntics, Quantum computers, Deep Q-Learning, Computació Quàntica, Reinforcement Learning, Màxim Tall, :Informàtica [Àrees temàtiques de la UPC], Machine learning, Aprenentatge per reforç, Aprenentatge automàtic, Quantum Computing, Àrees temàtiques de la UPC::Informàtica

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