9 citations · 15 across the 2 of their papers we have counts for
2 papers
cond-mat.quant-gas2023★ 9 cited
High-dimensional reinforcement learning for optimization and control of ultracold quantum gases
Nicholas Milson, Arina Tashchilina, Tian Ooi +3
Machine-learning techniques are emerging as a valuable tool in experimental physics, and among them, reinforcement learning offers the potential to control high-dimensional, multis…
quant-ph2023★ 6 cited
Investigation of Floquet engineered non-Abelian geometric phase for holonomic quantum computing
Logan W. Cooke, Arina Tashchilina, Mason Protter +5
Holonomic quantum computing (HQC) functions by transporting an adiabatically degenerate manifold of computational states around a closed loop in a control-parameter space; this cyc…