Fig. 2: Exploiting asymmetric cost for data generation.
From: Meta-designing quantum experiments with language models
A random Python program (sequence B) is generated. Executing it for the values N = 0, 1, 2 produces three different experimental setups. Each setup produces a state. The three states are concatenated to make sequence A, which is the input for the model.
