3 citations · 8 across the 6 of their papers we have counts for
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quant-ph2023
Quantum Gate Optimization for Rydberg Architectures in the Weak-Coupling Limit
Nicolas Heimann, Lukas Broers, Nejira Pintul +5
We demonstrate machine learning assisted design of a two-qubit gate in a Rydberg tweezer system. Two low-energy hyperfine states in each of the atoms represent the logical qubit an…
cs.AI2023★ 3 cited
Hierarchical Imitation Learning with Vector Quantized Models
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
The ability to plan actions on multiple levels of abstraction enables intelligent agents to solve complex tasks effectively. However, learning the models for both low and high-leve…