RXCalibrationBuilder

class qiskit.transpiler.passes.RXCalibrationBuilder(*args, **kwargs)

Bases: CalibrationBuilder

Add single-pulse RX calibrations that are bootstrapped from the SX calibration.

Note

Requirement: NormalizeRXAngles pass (one of the optimization passes).

It is recommended to place this pass in the post-optimization stage of a passmanager. A simple demo:

from qiskit.providers.fake_provider import GenericBackendV2
from qiskit.transpiler import PassManager, PassManagerConfig
from qiskit.transpiler.preset_passmanagers import level_1_pass_manager
from qiskit.circuit import Parameter
from qiskit.circuit.library import QuantumVolume
from qiskit.circuit.library.standard_gates import RXGate
 
from qiskit.transpiler.passes import RXCalibrationBuilder
 
qv = QuantumVolume(4, 4, seed=1004)
 
# Transpiling with single pulse RX gates enabled
backend_with_single_pulse_rx = GenericBackendV2(5)
rx_inst_props = {}
for i in range(backend_with_single_pulse_rx.num_qubits):
  rx_inst_props[(i,)] = None
backend_with_single_pulse_rx.target.add_instruction(RXGate(Parameter("theta")), rx_inst_props)
config_with_rx = PassManagerConfig.from_backend(backend=backend_with_single_pulse_rx)
pm_with_rx = level_1_pass_manager(pass_manager_config=config_with_rx)
rx_builder = RXCalibrationBuilder(target=backend_with_single_pulse_rx.target)
pm_with_rx.post_optimization = PassManager([rx_builder])
transpiled_circ_with_single_pulse_rx = pm_with_rx.run(qv)
transpiled_circ_with_single_pulse_rx.count_ops()
 
# Conventional transpilation: each RX gate is decomposed into a sequence with two SX gates
original_backend = GenericBackendV2(5)
original_config = PassManagerConfig.from_backend(backend=original_backend)
original_pm = level_1_pass_manager(pass_manager_config=original_config)
original_transpiled_circ = original_pm.run(qv)
original_transpiled_circ.count_ops()

References

[1]: Gokhale et al. (2020), Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse. arXiv:2004.11205 <https://arxiv.org/abs/2004.11205>

Bootstrap single-pulse RX gate calibrations from the (hardware-calibrated) SX gate calibration.

Parameters

target (Target) – Should contain a SX calibration that will be
calibrations. (used for bootstrapping RX) –

Attributes

is_analysis_pass

Check if the pass is an analysis pass.

If the pass is an AnalysisPass, that means that the pass can analyze the DAG and write the results of that analysis in the property set. Modifications on the DAG are not allowed by this kind of pass.

is_transformation_pass

Check if the pass is a transformation pass.

If the pass is a TransformationPass, that means that the pass can manipulate the DAG, but cannot modify the property set (but it can be read).

Methods

execute

execute(passmanager_ir, state, callback=None)

GitHub

Execute optimization task for input Qiskit IR.

Parameters

passmanager_ir (Any) – Qiskit IR to optimize.
state (PassManagerState) – State associated with workflow execution by the pass manager itself.
callback (Callable | None) – A callback function which is caller per execution of optimization task.