An RL agent learns robust CNOT entangling pulses for realistically modeled GaAs singlet-triplet qubits and matches a gradient-based benchmark in simulation.
Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms
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Reinforcement learning entangling operations on spin qubits
An RL agent learns robust CNOT entangling pulses for realistically modeled GaAs singlet-triplet qubits and matches a gradient-based benchmark in simulation.