We classify regions of the Hilbert space, of quantum states of n qubits. There are 2 categories, Qat and DoQ. As an example, for n=1, one hemisphere of the Bloch sphere could be labelled Qat, the other hemisphere DoQ. The state vectors to classify are generated as the output of a sensor, which is then fed into a classifier circuit of M layers. Note that we are NOT classifying the classical params vector of the sensor, as we could use any other sensor with different parameterization as long as

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... 's capable of producing Qat and DoQ states. Also, we take the sensor as is, we don't try to "optimize" it.