Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of quantum machine ...
Although we are currently in the era of noisy intermediate scale quantum devices, several studies are being conducted with the aim of bringing machine learning to the quantum domain. Currently, ...
The difference between predicted and expected values when training a machine learning model. Also called a "loss function," the cost function is not about dollars. It is the difference between the ...
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