from copy import deepcopy
import numpy as np
__all__ = ["Instruction"]
[docs]class Instruction:
"""
Representation of pulses that implement a quantum gate.
It contains the control pulse required to implement the gate
on a particular hardware model.
Parameters
----------
gate: :class:`~.operations.Gate`
The quantum gate.
duration: list, optional
The execution time needed for the instruction.
tlist: array_like, optional
A list of time at which the time-dependent coefficients are
applied. See :class:`.Pulse` for detailed information`
pulse_info: list, optional
A list of tuples, each tuple corresponding to a pair of pulse label
and pulse coefficient, in the format (str, array_like).
This pulses will implement the desired gate.
Attributes
----------
targets: list, optional
The target qubits.
controls: list, optional
The control qubits.
used_qubits: set
Union of the control and target qubits.
"""
def __init__(self, gate, tlist=None, pulse_info=(), duration=1):
self.gate = deepcopy(gate)
self.used_qubits = set()
if self.targets is not None:
self.targets.sort() # Used when comparing the instructions
self.used_qubits |= set(self.targets)
if self.controls is not None:
self.controls.sort()
self.used_qubits |= set(self.controls)
self.tlist = tlist
if self.tlist is not None:
if np.isscalar(self.tlist):
self.duration = self.tlist
elif abs(self.tlist[0]) > 1.0e-8:
raise ValueError("Pulse time sequence must start from 0")
else:
self.duration = self.tlist[-1]
else:
self.duration = duration
self.pulse_info = pulse_info
@property
def name(self):
"""
Corresponding gate name
"""
return self.gate.name
@property
def targets(self):
"""
Target qubits
:type: list
"""
return self.gate.targets
@property
def controls(self):
"""
Control qubits
:type: list
"""
return self.gate.controls