Module: tfq.layers
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Module definitions for tensorflow_quantum.python.layers.*
Classes
class AddCircuit: A layer that pre/appends a sequence of gates to the input circuit tensor.
class ControlledPQC: Controlled Parametrized Quantum Circuit (PQC) Layer.
class Expectation: A Layer that calculates an expectation value.
class NoisyControlledPQC: Noisy Controlled Parametrized Quantum Circuit (PQC) Layer.
class NoisyPQC: Noisy Parametrized Quantum Circuit (PQC) Layer.
class PQC: Parametrized Quantum Circuit (PQC) Layer.
class Sample: A Layer that samples from a quantum circuit.
class SampledExpectation: A layer that calculates a sampled expectation value.
class State: A Layer that simulates a quantum state.
class Unitary: A Layer that calculates unitary matrices of circuits.
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Last updated 2024-05-17 UTC.
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