3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Lea Richtmann, Viktoria-S. Schmiesing, Dennis Wilken +5
Setting up and controlling optical systems is often a challenging and tedious task. The high number of degrees of freedom to control mirrors, lenses, or phases of light makes autom…
quant-ph2023★ 3 cited
Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks
Dmytro Bondarenko, Robert Salzmann, Viktoria-S. Schmiesing
Recurrent neural networks play an important role in both research and industry. With the advent of quantum machine learning, the quantisation of recurrent neural networks has becom…