Help protect the Great Barrier Reef with TensorFlow on Kaggle Join Challenge


Convert lists of tfq supported primitives to tensor representations.

Used in the notebooks

Used in the tutorials

Recursively convert a nested lists of cirq.PauliSum or cirq.Circuit objects to a tf.Tensor representation. Note that cirq serialization only supports cirq.GridQubits so we also require that input circuits and pauli sums are defined only on cirq.GridQubits.

my_qubits = cirq.GridQubit.rect(1, 2)
my_circuits = [cirq.Circuit(cirq.X(my_qubits[0])),
tensor_input = tfq.convert_to_tensor(my_circuits)
# Now tensor_input can be used as model input etc.
same_circuits = tfq.from_tensor(tensor_input)
# same_circuits now holds cirq.Circuit objects once more.
        cirq.X.on(cirq.GridQubit(0, 0)),
        cirq.Z.on(cirq.GridQubit(0, 0)),

items_to_convert Python list or nested list of cirq.Circuit or cirq.Paulisum objects. Must be recangular.

A tf.Tensor that represents the input items.

TypeError In case of invalid arguments provided in items_to_convert.