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Quantum Machine Learning

Parameterized quantum circuit learns to classify 2D data. Click the scatter plot to add points, then train the variational classifier via gradient descent.

Training Data (click to add points)

Class A Class B Decision boundary

Variational Quantum Circuit

Ry(x0) -- Rz(w0) -- CNOT -- Ry(w2) -- Measure Ry(x1) -- Rz(w1) ---@--- Rz(w3) -- Measure
0
Epoch
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Loss
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Accuracy
6
Parameters

Training Loss

Training Log

Add data points and click Train to begin.