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mindquantum.core.gates.SWAPalpha

class mindquantum.core.gates.SWAPalpha(pr)

SWAP alpha gate. More usage, please see RX.

$$\begin{array}{r}\text{SWAP}(\alpha )=\left(\begin{array}{cccc}1& 0& 0& 0\\ 0& \frac{1}{2}(1+e^{i\pi \alpha })& \frac{1}{2}(1-e^{i\pi \alpha })& 0\\ 0& \frac{1}{2}(1-e^{i\pi \alpha })& \frac{1}{2}(1+e^{i\pi \alpha })& 0\\ 0& 0& 0& 1\end{array}\right)\end{array}$$

Parameters

pr (Union[int, float, str, dict, ParameterResolver]) – the parameters of parameterized gate, see above for detail explanation.

diff_matrix(pr=None, about_what=None)

Differential form of this parameterized gate.

Parameters

• pr (Union[ParameterResolver, dict]) – The parameter value for parameterized gate. Default: None.

• about_what (str) – calculate the gradient w.r.t which parameter.

Returns

numpy.ndarray, the differential form matrix.

get_cpp_obj()

Construct cpp obj.

matrix(pr=None, full=False)

Get the matrix of this parameterized gate.

Parameters

• pr (Union[ParameterResolver, dict]) – The parameter value for parameterized gate. Default: None.

• full (bool) – Whether to get the full matrix of this gate (the gate should be acted on some qubits). Default: False.

Returns

numpy.ndarray, the matrix of this gate.