Quantum Machine Learning (QML) sits at the intersection of quantum computing and classical ML. Thanks to several cloud platforms, you can experiment with QML algorithms today—completely free.
@qml.qnode(dev) def circuit(weights, x): qml.AngleEmbedding(x, wires=[0,1]) qml.BasicEntanglerLayers(weights, wires=[0,1]) return qml.expval(qml.PauliZ(0)) weights = np.random.random((2, 2)) print(circuit(weights, [0.5, 0.2])) free cloud based quantum machine learning software
Run this in any free cloud notebook (Colab, Deepnote, or IBM Cloud Pak for Data) to experience QML without a local setup. You do not need a quantum computer or expensive license. Free cloud platforms provide immediate access to QML tools – perfect for learning, prototyping, and research. Quantum Machine Learning (QML) sits at the intersection