Note
This is the documentation for the current state of the development branch of Qiskit Experiments. The documentation or APIs here can change prior to being released.
FineZXAmplitude¶
- class FineZXAmplitude(physical_qubits, backend=None)[source]¶
A fine amplitude experiment for the
RZXGate(np.pi / 2)
.Overview
FineZXAmplitude
is a subclass ofFineAmplitude
and is used to set the appropriate values for the default options to calibrate aRZXGate(np.pi / 2)
.Analysis class reference
Experiment options
These options can be set by the
set_experiment_options()
method.- Options
Defined in the class
FineZXAmplitude
:add_cal_circuits (bool)
Default value:False
If set to True then two circuits to calibrate 0 and 1 points will be added. This option is set to False by default forFineZXAmplitude
since the amplitude calibration can be achieved with two RZX gates and this is included in the repetitions.repetitions (List[int])
Default value: [0
,1
,2
,3
,4
, …]A list of the number of times that the gate is repeated.
Defined in the class
FineAmplitude
:gate (Gate)
Default value:None
This is a gate class such as XGate, so that one can obtain a gate by doingoptions.gate()
.normalization (bool)
Default value:True
If set to True the DataProcessor will normalized the measured signal to the interval [0, 1]. Defaults to True.
Defined in the class
BaseExperiment
:max_circuits (Optional[int])
Default value:None
The maximum number of circuits per job when running an experiment on a backend.
Example
To run this experiment, the user will have to provide the instruction schedule map in the transpile options that contains the schedule for the experiment.
qubits = (1, 2) inst_map = InstructionScheduleMap() inst_map.add("szx", qubits, my_schedule) fine_amp = FineZXAmplitude(qubits, backend) fine_amp.set_transpile_options(inst_map=inst_map)
Here,
my_schedule
is the pulse schedule that will implement theRZXGate(np.pi / 2)
rotation.See also
Initialization
Initialize the experiment.
Attributes
- analysis: BaseAnalysis¶
Return the analysis instance for the experiment
- backend¶
Return the backend for the experiment
- experiment_options¶
Return the options for the experiment.
- experiment_type¶
Return experiment type.
- num_qubits¶
Return the number of qubits for the experiment.
- physical_qubits¶
Return the device qubits for the experiment.
Methods
- circuits()¶
Create the circuits for the fine amplitude calibration experiment.
- Returns:
A list of circuits with a variable number of gates.
- Raises:
CalibrationError – If the analysis options do not contain the angle_per_gate.
- Return type:
List[QuantumCircuit]
- config()¶
Return the config dataclass for this experiment
- Return type:
- copy()¶
Return a copy of the experiment
- Return type:
- enable_restless(rep_delay=None, override_processor_by_restless=True, suppress_t1_error=False)[source]¶
Enable restless measurements.
We wrap the method of the
RestlessMixin
to readout both qubits. This forces the control qubit to be in either the 0 or 1 state before the next circuit starts since restless measurements do not reset qubits.- Parameters:
rep_delay (float | None) – The repetition delay. This is the delay between a measurement and the subsequent quantum circuit. Since the backends have dynamic repetition rates, the repetition delay can be set to a small value which is required for restless experiments. Typical values are 1 us or less.
override_processor_by_restless (bool) – If False, a data processor that is specified in the analysis options of the experiment is not overridden by the restless data processor. The default is True.
suppress_t1_error (bool) – If True, the default is False, then no error will be raised when
rep_delay
is larger than the T1 times of the qubits. Instead, a warning will be logged as restless measurements may have a large amount of noise.
- classmethod from_config(config)¶
Initialize an experiment from experiment config
- Return type:
- job_info(backend=None)¶
Get information about job distribution for the experiment on a specific backend.
- Parameters:
backend (Backend) – Optional, the backend for which to get job distribution information. If not specified, the experiment must already have a set backend.
- Returns:
A dictionary containing information about job distribution.
”Total number of circuits in the experiment”: Total number of circuits in the experiment.
”Maximum number of circuits per job”: Maximum number of circuits in one job based on backend and experiment settings.
”Total number of jobs”: Number of jobs needed to run this experiment on the currently set backend.
- Return type:
dict
- Raises:
QiskitError – if backend is not specified.
- run(backend=None, sampler=None, analysis='default', timeout=None, backend_run=None, **run_options)¶
Run an experiment and perform analysis.
- Parameters:
backend (Backend | None) – Optional, the backend to run on. Will override existing backend settings.
sampler (BaseSamplerV2 | None) – Optional, the sampler to run the experiment on. If None then a sampler will be invoked from previously set backend
analysis (BaseAnalysis | None) – Optional, a custom analysis instance to use for performing analysis. If None analysis will not be run. If
"default"
the experimentsanalysis()
instance will be used if it contains one.timeout (float | None) – Time to wait for experiment jobs to finish running before cancelling.
backend_run (bool | None) – Use backend run (temp option for testing)
run_options – backend runtime options used for circuit execution.
- Returns:
The experiment data object.
- Raises:
QiskitError – If experiment is run with an incompatible existing ExperimentData container.
- Return type:
- set_experiment_options(**fields)¶
Set the experiment options.
- Parameters:
fields – The fields to update the options
- Raises:
AttributeError – If the field passed in is not a supported options
- set_run_options(**fields)¶
Set options values for the experiment
run()
method.- Parameters:
fields – The fields to update the options
See also
The Setting options for your experiment guide for code example.
- set_transpile_options(**fields)¶
Set the transpiler options for
run()
method.- Parameters:
fields – The fields to update the options
- Raises:
QiskitError – If initial_layout is one of the fields.
See also
The Setting options for your experiment guide for code example.