8 citations · 9 across the 9 of their papers we have counts for
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quant-ph2023★ 8 cited
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
Georg Kruse, Theodora-Augustina Dragan, Robert Wille +1
Quantum Reinforcement Learning (QRL) emerged as a branch of reinforcement learning (RL) that uses quantum submodules in the architecture of the algorithm. One branch of QRL focuses…
quant-ph2023★ 1 cited
Restricted Global Optimization for QAOA
Peter Gleißner, Georg Kruse, Andreas Roßkopf
The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising variational quantum algorithm for addressing NP hard combinatorial optimization problems. However,…