Quantum Computing, Machine Learning, Photonics, Technology, Quantum Machine Learning.
classification Yxi which defines the class it belongs to. So, our cost function then takes the form: This is the difference between the values f (the classification to be predicted by our circuit) and y (the actual classification of the data). By tuning the parameters θ of the W(θ) blocks, our