tfq.append_circuit
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Merge programs in the input tensors.
tfq.append_circuit(
programs, programs_to_append
)
Given two tensors of programs, this function merges the programs pairwise and returns a single tensor containing the merged programs. Note that this function is not differentiable because the output has type string.
q = cirq.GridQubit(0, 0)p0 = [cirq.Circuit(cirq.H(q)), cirq.Circuit(cirq.S(q))]p1 = [cirq.Circuit(cirq.Z(q)), cirq.Circuit(cirq.X(q))]p0_t = tfq.convert_to_tensor(p0)p1_t = tfq.convert_to_tensor(p1)tfq.from_tensor(append_circuit(p0_t, p1_t))array([cirq.Circuit([cirq.Moment(cirq.H(cirq.GridQubit(0, 0)),),cirq.Moment(cirq.Z(cirq.GridQubit(0, 0)),),]),cirq.Circuit([cirq.Moment(cirq.S(cirq.GridQubit(0, 0)),),cirq.Moment(cirq.X(cirq.GridQubit(0, 0)),),])], dtype=object)
Args | |
|---|---|
programs
|
tf.Tensor of strings with shape [batch_size] containing
the string representations of circuits.
|
programs_to_append
|
tf.Tensor of strings with shape [batch_size]
containing the string representations of circuits to append.
|
Returns | |
|---|---|
tf.Tensor with shape [batch_size]. Entry i is the string
representing the circuit which is programs_to_append[i]
appended to programs[i].
|