A random forest model trained on real QPU execution results predicts quantum circuit execution quality with a Pearson correlation of 0.88 to 0.94, beating gate count, depth, expected fidelity, and ESP by an average of 49%.
An efficient methodology for mapping quantum circuits to the IBM QX architectures,
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Improving Figures of Merit for Quantum Circuit Compilation
A random forest model trained on real QPU execution results predicts quantum circuit execution quality with a Pearson correlation of 0.88 to 0.94, beating gate count, depth, expected fidelity, and ESP by an average of 49%.