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.

Save and load experiment data with the cloud service

Note

This guide is only for those who have access to the cloud service. You can check whether you do by logging into the IBM Quantum interface and seeing if you can see the database.

Problem

You want to save and retrieve experiment data from the cloud service.

Solution

Saving

Note

This guide requires qiskit-ibm-provider. For how to migrate from the deprecated qiskit-ibmq-provider to qiskit-ibm-provider, consult the migration guide.

You must run the experiment on a real IBM backend and not a simulator to be able to save the experiment data. This is done by calling save():

from qiskit_ibm_provider import IBMProvider
from qiskit_experiments.library.characterization import T1
import numpy as np

provider = IBMProvider()
backend = provider.get_backend("ibmq_lima")

t1_delays = np.arange(1e-6, 600e-6, 50e-6)

exp = T1(physical_qubits=(0,), delays=t1_delays)

t1_expdata = exp.run(backend=backend).block_for_results()
t1_expdata.save()

You can view the experiment online at
https://quantum-computing.ibm.com/experiments/10a43cb0-7cb9-41db-ad74-18ea6cf63704

Loading

Let’s load a previous T1 experiment (requires login to view), which we’ve made public by editing the Share level field:

from qiskit_experiments.framework.experiment_data import ExperimentData
service = ExperimentData.get_service_from_backend(backend)
load_expdata = ExperimentData.load("9640736e-d797-4321-b063-d503f8e98571", service)

To display the figure, which is serialized into a string, we need the SVG library:

from IPython.display import SVG
SVG(load_expdata.figure(0).figure)

The analysis results have been retrieved as well:

for result in load_expdata.analysis_results():
    print(result)

AnalysisResult
- name: T1
- value: 0.0001040+/-0.0000028
- χ²: 0.8523786276663019
- quality: good
- extra: <1 items>
- device_components: ['Q0']
- verified: False
AnalysisResult
- name: @Parameters_T1Analysis
- value: CurveFitResult:
- fitting method: least_squares
- number of sub-models: 1
* F_exp_decay(x) = amp * exp(-x/tau) + base
- success: True
- number of function evals: 9
- degree of freedom: 9
- chi-square: 7.671407648996717
- reduced chi-square: 0.8523786276663019
- Akaike info crit.: 0.6311217041870707
- Bayesian info crit.: 2.085841653551072
- init params:
* amp = 0.923076923076923
* tau = 0.00016946294665316433
* base = 0.033466533466533464
- fit params:
* amp = 0.9266620487665083 ± 0.007096409569790425
* tau = 0.00010401411623191737 ± 2.767679521974391e-06
* base = 0.036302726197354626 ± 0.0037184540724124844
- correlations:
* (tau, base) = -0.6740808746060173
* (amp, base) = -0.4231810882291163
* (amp, tau) = 0.09302612202500576
- quality: good
- device_components: ['Q0']
- verified: False

Discussion

Note that calling save() before the experiment is complete will instantiate an experiment entry in the database, but it will not have complete data. To fix this, you can call save() again once the experiment is done running.

Auto-saving an experiment

The auto_save() feature automatically saves changes to the ExperimentData object to the cloud service whenever it’s updated.

exp = T1(physical_qubits=(0,), delays=t1_delays)

t1_expdata = exp.run(backend=backend, shots=1000)
t1_expdata.auto_save = True
t1_expdata.block_for_results()

You can view the experiment online at https://quantum-computing.ibm.com/experiments/cdaff3fa-f621-4915-a4d8-812d05d9a9ca
<ExperimentData[T1], backend: ibmq_lima, status: ExperimentStatus.DONE, experiment_id: cdaff3fa-f621-4915-a4d8-812d05d9a9ca>

Deleting an experiment

Both figures and analysis results can be deleted. Note that unless you have auto save on, the update has to be manually saved to the remote database by calling save(). Because there are two analysis results, one for the T1 parameter and one for the curve fitting results, we must delete twice to fully remove the analysis results.

t1_expdata.delete_figure(0)
t1_expdata.delete_analysis_result(0)
t1_expdata.delete_analysis_result(0)

Are you sure you want to delete the experiment plot? [y/N]: y
Are you sure you want to delete the analysis result? [y/N]: y
Are you sure you want to delete the analysis result? [y/N]: y

Tagging and sharing experiments

Tags and notes can be added to experiments to help identify specific experiments in the interface. For example, an experiment can be tagged and made public with the following code.

t1_expdata.tags = ['tag1', 'tag2']
t1_expdata.share_level = "public"
t1_expdata.notes = "Example note."

Web interface

You can also view experiment results as well as change the tags and share level at the IBM Quantum Experiments pane on the cloud. The documentation below explains how to view, search, and share experiment data entries.

See also

• Experiments web interface documentation