def schedule(
circuits: Union[QuantumCircuit, List[QuantumCircuit]],
backend: Optional[BaseBackend] = None,
inst_map: Optional[InstructionScheduleMap] = None,
cmd_def: Optional[CmdDef] = None,
meas_map: Optional[List[List[int]]] = None,
method: Optional[Union[str, List[str]]] = None
) -> Union[Schedule, List[Schedule]]:
"""
Schedule a circuit to a pulse ``Schedule``, using the backend, according to any specified
methods. Supported methods are documented in :py:mod:`qiskit.scheduler.schedule_circuit`.
Args:
circuits: The quantum circuit or circuits to translate
backend: A backend instance, which contains hardware-specific data required for scheduling
inst_map: Mapping of circuit operations to pulse schedules. If ``None``, defaults to the
``backend``\'s ``instruction_schedule_map``
cmd_def: Deprecated
meas_map: List of sets of qubits that must be measured together. If ``None``, defaults to
the ``backend``\'s ``meas_map``
method: Optionally specify a particular scheduling method
Returns:
A pulse ``Schedule`` that implements the input circuit
Raises:
QiskitError: If ``inst_map`` and ``meas_map`` are not passed and ``backend`` is not passed
"""
if inst_map is None:
if cmd_def is not None:
inst_map = cmd_def
if backend is None:
raise QiskitError(
"Must supply either a backend or InstructionScheduleMap for "
"scheduling passes.")
inst_map = backend.defaults().instruction_schedule_map
if meas_map is None:
if backend is None:
raise QiskitError(
"Must supply either a backend or a meas_map for scheduling passes."
)
meas_map = backend.configuration().meas_map
schedule_config = ScheduleConfig(inst_map=inst_map, meas_map=meas_map)
circuits = circuits if isinstance(circuits, list) else [circuits]
schedules = [
schedule_circuit(circuit, schedule_config, method)
for circuit in circuits
]
return schedules[0] if len(schedules) == 1 else schedules
def schedule(circuits: Union[QuantumCircuit, List[QuantumCircuit]],
backend: Optional['BaseBackend'] = None,
cmd_def: Optional[CmdDef] = None,
meas_map: Optional[List[List[int]]] = None,
method: Optional[Union[str, List[str]]] = None) -> Union[Schedule, List[Schedule]]:
"""
Schedule a circuit to a pulse Schedule, using the backend, according to any specified methods.
Supported methods are documented in
:py:func:`qiskit.pulse.scheduler.schedule_circuit.schedule_circuit`.
Args:
circuits: The quantum circuit or circuits to translate
backend: A backend instance, which contains hardware specific data required for scheduling
cmd_def: Mapping of circuit operations to pulse schedules. If None, defaults to the
`backend` `cmd_def`
meas_map: List of sets of qubits that must be measured together. If `None` defaults to
the `backend` `meas_map`
method: Optionally specify a particular scheduling method
Returns:
A pulse `Schedule` that implements the input circuit
Raises:
QiskitError: If `cmd_def` and `meas_map` are not passed and `backend` is not passed
"""
if cmd_def is None:
if backend is None:
raise QiskitError("Must supply either a backend or CmdDef for scheduling passes.")
defaults = backend.defaults()
cmd_def = CmdDef.from_defaults(defaults.cmd_def, defaults.pulse_library)
if meas_map is None:
if backend is None:
raise QiskitError("Must supply either a backend or a meas_map for scheduling passes.")
meas_map = backend.configuration().meas_map
schedule_config = ScheduleConfig(cmd_def=cmd_def, meas_map=meas_map)
circuits = circuits if isinstance(circuits, list) else [circuits]
schedules = [schedule_circuit(circuit, schedule_config, method) for circuit in circuits]
return schedules[0] if len(schedules) == 1 else schedules
def rabi_schedules(amp_list,
qubits,
pulse_width,
pulse_sigma=None,
width_sigma_ratio=4,
drives=None,
cmd_def=None,
meas_map=None):
"""
Generates schedules for a rabi experiment using a Gaussian pulse
Args:
amp_list (list of floats): List of amplitudes for the Gaussian
pulse [-1,1]
qubits (list of integers): indices of the qubits to perform a rabi
pulse_width: width of gaussian (in dt units)
pulse_sigma: sigma of gaussian
width_sigma_ratio: set sigma to a certain ratio of the width (use if
pulse_sigma is None)
drives: list of DriveChannel objects
cmd_def: CmdDef object to use
meas_map: meas_map to use
Returns:
A list of QuantumSchedules
xdata: a list of amps
"""
xdata = amp_list
# copy the command def
cmd_def = copy.deepcopy(cmd_def)
if pulse_sigma is None:
pulse_sigma = pulse_width / width_sigma_ratio
# Construct the circuits
qr = qiskit.QuantumRegister(max(qubits) + 1)
cr = qiskit.ClassicalRegister(len(qubits))
circuits = []
for circ_index, g_amp in enumerate(amp_list):
circ = qiskit.QuantumCircuit(qr, cr)
circ.name = 'rabicircuit_%d_0' % circ_index
rabi_pulse = pulse_lib.gaussian(duration=pulse_width,
amp=g_amp,
sigma=pulse_sigma,
name='rabi_pulse_%d' % circ_index)
rabi_gate = Gate(name='rabi_%d' % circ_index, num_qubits=1, params=[])
for _, qubit in enumerate(qubits):
# add commands to schedule
schedule = pulse.Schedule(name='rabi_pulse_%f_%d' % (g_amp, qubit))
schedule += rabi_pulse(drives[qubit])
# append this schedule to the cmd_def
cmd_def.add('rabi_%d' % circ_index,
qubits=[qubit],
schedule=schedule)
circ.append(rabi_gate, [qr[qubit]])
for qind, qubit in enumerate(qubits):
circ.measure(qr[qubit], cr[qind])
circuits.append(circ)
# schedule
schedule_config = ScheduleConfig(cmd_def, meas_map)
rabi_sched = [
schedule_circuit(qcirc, schedule_config) for qcirc in circuits
]
return rabi_sched, xdata
def drag_schedules(beta_list,
qubits,
pulse_amp,
pulse_width,
pulse_sigma=None,
width_sigma_ratio=4,
drives=None,
cmd_def=None,
meas_map=None):
"""
Generates schedules for a drag experiment doing a pulse then
the - pulse
Args:
beta_list (list of floats): List of relative amplitudes
for the derivative pulse
qubits (list of integers): indices of the qubits to perform a rabi
pulse_amp: amp of the gaussian (list of length qubits)
pulse_width: width of gaussian (in dt units)
pulse_sigma: sigma of gaussian
width_sigma_ratio: set sigma to a certain ratio of the width (use if
pulse_sigma is None)
drives: list of DriveChannel objects
cmd_def: CmdDef object to use
meas_map: meas_map to use
Returns:
A list of QuantumSchedules
xdata: a list of amps
"""
xdata = beta_list
# copy the command def
cmd_def = copy.deepcopy(cmd_def)
if pulse_sigma is None:
pulse_sigma = pulse_width / width_sigma_ratio
# Construct the circuits
qr = qiskit.QuantumRegister(max(qubits) + 1)
cr = qiskit.ClassicalRegister(len(qubits))
circuits = []
for circ_index, b_amp in enumerate(beta_list):
circ = qiskit.QuantumCircuit(qr, cr)
circ.name = 'dragcircuit_%d_0' % circ_index
for qind, qubit in enumerate(qubits):
# positive drag pulse
drag_pulse = pulse_lib.drag(duration=pulse_width,
amp=pulse_amp[qind],
beta=b_amp,
sigma=pulse_sigma,
name='drag_pulse_%d_%d' %
(circ_index, qubit))
drag_gate = Gate(name='drag_%d_%d' % (circ_index, qubit),
num_qubits=1,
params=[])
# add commands to schedule
schedule = pulse.Schedule(name='drag_pulse_%f_%d' % (b_amp, qubit))
schedule += drag_pulse(drives[qubit])
# append this schedule to the cmd_def
cmd_def.add('drag_%d_%d' % (circ_index, qubit),
qubits=[qubit],
schedule=schedule)
# negative pulse
drag_pulse2 = pulse_lib.drag(duration=pulse_width,
amp=-1 * pulse_amp[qind],
beta=b_amp,
sigma=pulse_sigma,
name='drag_pulse_%d_%d' %
(circ_index, qubit))
drag_gate2 = Gate(name='drag2_%d_%d' % (circ_index, qubit),
num_qubits=1,
params=[])
# add commands to schedule
schedule2 = pulse.Schedule(name='drag_pulse2_%f_%d' %
(b_amp, qubit))
schedule2 += drag_pulse2(drives[qubit])
# append this schedule to the cmd_def
cmd_def.add('drag2_%d_%d' % (circ_index, qubit),
qubits=[qubit],
schedule=schedule2)
circ.append(drag_gate, [qr[qubit]])
# circ.u1(np.pi, [qr[qubit]])
circ.append(drag_gate2, [qr[qubit]])
for qind, qubit in enumerate(qubits):
circ.measure(qr[qubit], cr[qind])
circuits.append(circ)
# schedule
schedule_config = ScheduleConfig(cmd_def, meas_map)
drag_sched = [
schedule_circuit(qcirc, schedule_config) for qcirc in circuits
]
return drag_sched, xdata
from qiskit import *
from qiskit.visualization import *
from qiskit.test.mock import FakeBoeblingen
from qiskit.scheduler import schedule_circuit
#%%
ghz = QuantumCircuit(4)
ghz.h(1)
ghz.cx(0, range(1,4))
ghz.draw()
backend = FakeBoeblingen()
#%%
from kk in range(3):
circ = transpile(ghz, backend, optimization_level=kk)
#%%
circ = transpile(ghz, backend, optimization_level=1, scheduling_method='asap')
circ.draw()
#%%
schedule_circuit(ghz)