activity
20232026
most citedVariational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments

8 citations · 9 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

quant-ph2024

Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization

Georg Kruse, Rodrigo Coehlo, Andreas Rosskopf +2

Advancements in Quantum Computing (QC) and Neural Combinatorial Optimization (NCO) represent promising steps in tackling complex computational challenges. On the one hand, Variatio…