Source code for mimiqcircuits.operations.operators.diagonals

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import mimiqcircuits as mc
import symengine as se


[docs] class DiagonalOp(mc.AbstractOperator): r"""One-qubit diagonal operator. The corresponding matrix is given by: **Matrix Representation** .. math:: \begin{pmatrix} a & 0 \\ 0 & b \end{pmatrix} where `a` and `b` are complex numbers. See Also: :class:`Operator`, :class:`Projector0`, :class:`Projector1` Parameters: a (complex): The top-left entry of the diagonal matrix. b (complex): The bottom-right entry of the diagonal matrix. Examples: >>> from mimiqcircuits import * >>> op = DiagonalOp(1, 0.5) >>> c = Circuit() >>> c.push(ExpectationValue(DiagonalOp(1, 0.5)), 1, 2) 2-qubit circuit with 1 instructions: └── ⟨D(1, 0.5)⟩ @ q[1], z[2] <BLANKLINE> """ _name = "D" _num_qubits = 1 _parnames = () _qregsizes = [1] def __init__(self, a, b): if not isinstance(a, (float, int)) or not isinstance(b, (float, int)): raise ValueError("a and b must be float or int") self.a = a self.b = b super().__init__() self._parnames = ("a", "b") def _matrix(self): mat = se.Matrix([[self.a, 0], [0, self.b]]) return mat def __str__(self): return f"{self._name}{self.a,self.b}" @property def parnames(self): return self._parnames
[docs] def rescale(self, scale): """Return a new rescaled DiagonalOp operator.""" return DiagonalOp(self.a * scale, self.b * scale)
[docs] def rescale_inplace(self, scale): """In-place rescaling of the DiagonalOp operator.""" self.a *= scale self.b *= scale return self
[docs] def opsquared(self): """Return the operator with each parameter squared.""" return DiagonalOp(abs(self.a)**2, abs(self.b)**2)
__all__ = ["DiagonalOp"]