Source code for qiskit.circuit.annotated_operation

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"""Annotated Operations."""

import dataclasses
from typing import Union, List

from qiskit.circuit.operation import Operation
from qiskit.circuit._utils import _compute_control_matrix, _ctrl_state_to_int
from qiskit.circuit.exceptions import CircuitError


class Modifier:
    """The base class that all modifiers of :class:`~.AnnotatedOperation` should
    inherit from."""

    pass


[docs]@dataclasses.dataclass class InverseModifier(Modifier): """Inverse modifier: specifies that the operation is inverted.""" pass
[docs]@dataclasses.dataclass class ControlModifier(Modifier): """Control modifier: specifies that the operation is controlled by ``num_ctrl_qubits`` and has control state ``ctrl_state``.""" num_ctrl_qubits: int = 0 ctrl_state: Union[int, str, None] = None def __init__(self, num_ctrl_qubits: int = 0, ctrl_state: Union[int, str, None] = None): self.num_ctrl_qubits = num_ctrl_qubits self.ctrl_state = _ctrl_state_to_int(ctrl_state, num_ctrl_qubits)
[docs]@dataclasses.dataclass class PowerModifier(Modifier): """Power modifier: specifies that the operation is raised to the power ``power``.""" power: float
[docs]class AnnotatedOperation(Operation): """Annotated operation.""" def __init__(self, base_op: Operation, modifiers: Union[Modifier, List[Modifier]]): """ Create a new AnnotatedOperation. An "annotated operation" allows to add a list of modifiers to the "base" operation. For now, the only supported modifiers are of types :class:`~.InverseModifier`, :class:`~.ControlModifier` and :class:`~.PowerModifier`. An annotated operation can be viewed as an extension of :class:`~.ControlledGate` (which also allows adding control to the base operation). However, an important difference is that the circuit definition of an annotated operation is not constructed when the operation is declared, and instead happens during transpilation, specifically during the :class:`~.HighLevelSynthesis` transpiler pass. An annotated operation can be also viewed as a "higher-level" or "more abstract" object that can be added to a quantum circuit. This enables writing transpiler optimization passes that make use of this higher-level representation, for instance removing a gate that is immediately followed by its inverse. Args: base_op: base operation being modified modifiers: ordered list of modifiers. Supported modifiers include ``InverseModifier``, ``ControlModifier`` and ``PowerModifier``. Examples:: op1 = AnnotatedOperation(SGate(), [InverseModifier(), ControlModifier(2)]) op2_inner = AnnotatedGate(SGate(), InverseModifier()) op2 = AnnotatedGate(op2_inner, ControlModifier(2)) Both op1 and op2 are semantically equivalent to an ``SGate()`` which is first inverted and then controlled by 2 qubits. """ self.base_op = base_op self.modifiers = modifiers if isinstance(modifiers, List) else [modifiers] @property def name(self): """Unique string identifier for operation type.""" return "annotated" @property def num_qubits(self): """Number of qubits.""" num_ctrl_qubits = 0 for modifier in self.modifiers: if isinstance(modifier, ControlModifier): num_ctrl_qubits += modifier.num_ctrl_qubits return num_ctrl_qubits + self.base_op.num_qubits @property def num_clbits(self): """Number of classical bits.""" return self.base_op.num_clbits def __eq__(self, other) -> bool: """Checks if two AnnotatedOperations are equal.""" return ( isinstance(other, AnnotatedOperation) and self.modifiers == other.modifiers and self.base_op == other.base_op )
[docs] def copy(self) -> "AnnotatedOperation": """Return a copy of the :class:`~.AnnotatedOperation`.""" return AnnotatedOperation(base_op=self.base_op, modifiers=self.modifiers.copy())
[docs] def to_matrix(self): """Return a matrix representation (allowing to construct Operator).""" from qiskit.quantum_info.operators import Operator # pylint: disable=cyclic-import operator = Operator(self.base_op) for modifier in self.modifiers: if isinstance(modifier, InverseModifier): operator = operator.power(-1) elif isinstance(modifier, ControlModifier): operator = Operator( _compute_control_matrix( operator.data, modifier.num_ctrl_qubits, modifier.ctrl_state ) ) elif isinstance(modifier, PowerModifier): operator = operator.power(modifier.power) else: raise CircuitError(f"Unknown modifier {modifier}.") return operator
def _canonicalize_modifiers(modifiers): """ Returns the canonical representative of the modifier list. This is possible since all the modifiers commute; also note that InverseModifier is a special case of PowerModifier. The current solution is to compute the total number of control qubits / control state and the total power. The InverseModifier will be present if total power is negative, whereas the power modifier will be present only with positive powers different from 1. """ power = 1 num_ctrl_qubits = 0 ctrl_state = 0 for modifier in modifiers: if isinstance(modifier, InverseModifier): power *= -1 elif isinstance(modifier, ControlModifier): num_ctrl_qubits += modifier.num_ctrl_qubits ctrl_state = (ctrl_state << modifier.num_ctrl_qubits) | modifier.ctrl_state elif isinstance(modifier, PowerModifier): power *= modifier.power else: raise CircuitError(f"Unknown modifier {modifier}.") canonical_modifiers = [] if power < 0: canonical_modifiers.append(InverseModifier()) power *= -1 if power != 1: canonical_modifiers.append(PowerModifier(power)) if num_ctrl_qubits > 0: canonical_modifiers.append(ControlModifier(num_ctrl_qubits, ctrl_state)) return canonical_modifiers