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.
T1¶
- class T1(physical_qubits, delays, backend=None)[source]¶
An experiment to measure the qubit relaxation time.
Overview
This experiment estimates the \(T_1\) relaxation time of the qubit by generating a series of circuits that excite the qubit then wait for different intervals before measurement. The resulting data of excited population versus wait time is fitted to an exponential curve to obtain an estimate for \(T_1\).
User manual
Analysis class reference
Experiment options
These options can be set by the
set_experiment_options()
method.- Options
Defined in the class
T1
:delays (Iterable[float])
Default value:None
Delay times of the experiments in seconds.
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
import numpy as np from qiskit_experiments.library import T1 delays = np.arange(1.e-6, 300.e-6, 30.e-6) exp = T1(physical_qubits=(0, ), delays=delays, backend=backend) exp_data = exp.run().block_for_results() display(exp_data.figure(0)) exp_data.analysis_results(dataframe=True)
name experiment components value quality backend run_time chisq unit 055e290f @Parameters_T1Analysis T1 [Q0] CurveFitResult:\n - fitting method: least_squa... good aer_simulator_from(fake_manila) None None None af3f84fa T1 T1 [Q0] 0.000137+/-0.000009 good aer_simulator_from(fake_manila) None 0.348516 s Initialization
Initialize the T1 experiment class.
- Parameters:
physical_qubits (Sequence[int]) – a single-element sequence containing the qubit whose T1 is to be estimated.
delays (List[float] | array) – Delay times of the experiments in seconds.
backend (Backend | None) – Optional, the backend to run the experiment on.
- Raises:
ValueError – If the number of delays is smaller than 3
Attributes
- analysis¶
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 experiment circuits
- Returns:
The experiment circuits
- Return type:
List[QuantumCircuit]
- config()¶
Return the config dataclass for this experiment
- Return type:
- copy()¶
Return a copy of the experiment
- Return type:
- 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.