Figure 4 | Scientific Reports

Figure 4

From: Noise-robust optimization of quantum machine learning models for polymer properties using a simulator and validated on the IonQ quantum computer

Figure 4

Comparison of the learning curves when the expected predicted value is obtained directly from the state vector (left) and when it is calculated from n-shots sampling (n = 100, 1000, 10,000) (right). Although the learning curve improves as the number of shots is increased, \(R^{2}\) still converges at a negative value even when n = 10,000, which may be due to the stochastic variation in the expected predicted value.

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