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Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
We demonstrate the predictive power of our GNN model with a dataset consisting of 25, 000 samples from the noiseless IBM QASM Simulator and 12, 000 samples from three distinct noisy quantum backends.
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
We extrapolate the basic block execution counts of GPU applications and use them for predicting the performance for large input sizes from the counts of smaller input sizes.
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