Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

21 Nov 2019Artur Garcia-SaezJordi Riu

We present a classical control mechanism for Quantum devices using Reinforcement Learning. Our strategy is applied to the Quantum Approximate Optimization Algorithm (QAOA) in order to optimize an objective function that encodes a solution to a hard combinatorial problem... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper