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A beginners guide to quantum machine learning
Basics of supervised machine learning
A summary of classical supervised learning
Quiz on classical supervised learning
Quantum machine learning
Some basic concepts for quantum machine learning
Quiz on basic concepts
Deeper Classifiers
Quiz on deeper classifiers
Teaching the circle
Quiz on teaching the circle
QML with multiple qubits
More is different ? Working with multiple qubits
Quiz on working with multiple qubits
Quiz on teaching the circle
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In the previous tutorial we learned how to classify data with more than one input variables.
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This task required more than one qubit.
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In the data-reuploading approach, we handle the input variables by
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Reapplying gates that depend on the label
Reapplying gates that depend on the input data
Applying gates that depend on the input data once, and then apply complicated other gates.
Entanglement played a major role in our discussions on quantum machine learning up to this point.
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