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.
InterleavedRB¶
- class InterleavedRB(interleaved_element, physical_qubits, lengths, backend=None, num_samples=3, seed=None, full_sampling=False, circuit_order='RIRIRI')[source]¶
An experiment to characterize the error rate of a specific gate on a device.
Overview
Interleaved Randomized Benchmarking (RB) is a method to estimate the average error-rate of a certain quantum gate.
An interleaved RB experiment generates a standard RB sequences of random Cliffords and another sequence with the interleaved given gate. After running the two sequences on a backend, it calculates the probabilities to get back to the ground state, fits the two exponentially decaying curves, and estimates the interleaved gate error. See Ref. [1] for details.
References
[1] Easwar Magesan, Jay M. Gambetta, B. R. Johnson, Colm A. Ryan, Jerry M. Chow, Seth T. Merkel, Marcus P. da Silva, George A. Keefe, Mary B. Rothwell, Thomas A. Ohki, Mark B. Ketchen, M. Steffen, Efficient measurement of quantum gate error by interleaved randomized benchmarking, Phys. Rev. Lett. 109, 080505 (2012), doi: 10.1103/PhysRevLett.109.080505 (open)
User manual
Analysis class reference
Experiment options
These options can be set by the
set_experiment_options()
method.- Options
Defined in the class
InterleavedRB
:circuit_order (str)
Default value:"RIRIRI"
How to order the reference and the interleaved circuits."RIRIRI"
(alternate a reference and an interleaved circuit) or"RRRIII"
(push all reference circuits first, then all interleaved ones).
Defined in the class
StandardRB
:lengths (List[int])
Default value:None
A list of RB sequences lengths.num_samples (int)
Default value:None
Number of samples to generate for each sequence length.seed (None or int or SeedSequence or BitGenerator or Generator)
Default value:None
A seed used to initializenumpy.random.default_rng
when generating circuits. Thedefault_rng
will be initialized with this seed value every timecircuits()
is called.full_sampling (bool)
Default value:None
If True all Cliffords are independently sampled for all lengths. If False for sample of lengths longer sequences are constructed by appending additional Clifford samples to shorter sequences.clifford_synthesis_method (str)
Default value:"rb_default"
The name of the Clifford synthesis plugin to use for building circuits of RB sequences.
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.
See also
Initialization
Initialize an interleaved randomized benchmarking experiment.
- Parameters:
interleaved_element (QuantumCircuit | Gate | Delay | Clifford) – The element to interleave, given either as a Clifford element, gate, delay or circuit. All instructions in the element must be supported in the
backend``(``target
). If it is/contains a delay, its duration and unit must comply with the timing constraints of thebackend
(BackendTiming
is useful to obtain valid delays). Parameterized circuits/instructions are not allowed.physical_qubits (Sequence[int]) – list of physical qubits for the experiment.
lengths (Iterable[int]) – A list of RB sequences lengths.
backend (Backend | None) – The backend to run the experiment on.
num_samples (int) – Number of samples to generate for each sequence length.
seed (int | SeedSequence | BitGenerator | Generator | None) – Optional, seed used to initialize
numpy.random.default_rng
. when generating circuits. Thedefault_rng
will be initialized with this seed value every timecircuits()
is called.full_sampling (bool) – If True all Cliffords are independently sampled for all lengths. If False for sample of lengths longer sequences are constructed by appending additional Clifford samples to shorter sequences.
circuit_order (str) – How to order the reference and the interleaved circuits.
"RIRIRI"
(default) - Alternate a reference and an interleaved circuit. Or"RRRIII"
- Push all reference circuits first, then all interleaved ones.
- Raises:
QiskitError – When interleaved_element has different number of qubits from the physical_qubits argument.
QiskitError – When interleaved_element is not convertible to Clifford object.
QiskitError – When interleaved_element has an invalid delay (e.g. violating the timing constraints of the backend).
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()[source]¶
Return a list of RB circuits.
- Returns:
A list of
QuantumCircuit
.- Raises:
QiskitError – If interleaved_element has non-supported instruction in the backend.
- 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)¶
Enables a restless experiment by setting the restless run options and the restless data processor.
Deprecated since version 0.8: The method
qiskit_experiments.framework.restless_mixin.RestlessMixin.enable_restless()
is deprecated as of qiskit-experiments 0.8. It will be removed no earlier than 3 months after the release date. Support for restless experiments has been deprecated.- 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.
- Raises:
DataProcessorError – If the attribute rep_delay_range is not defined for the backend.
DataProcessorError – If a data processor has already been set but override_processor_by_restless is True.
DataProcessorError – If the experiment analysis does not have the data_processor option.
DataProcessorError – If the rep_delay is equal to or greater than the T1 time of one of the physical qubits in the experiment and the flag
ignore_t1_check
is False.
- 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.