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Qiskit 0.24 release notes

0.24.1

Terra 0.16.4

No change

Aer 0.7.6

No change

Ignis 0.5.2

No change

Aqua 0.8.2

No change

IBM Q Provider 0.12.2

Upgrade Notes

  • qiskit.providers.ibmq.IBMQBackend.defaults() now returns the pulse defaults for the backend if the backend supports pulse. However, your provider may not support pulse even if the backend does. The open_pulse flag in backend configuration indicates whether the provider supports it.

0.24.0

Terra 0.16.4

No change

Aer 0.7.6

New Features

  • This is the first release of qiskit-aer that publishes precompiled binaries to PyPI for Linux on aarch64 (arm64). From this release onwards Linux aarch64 packages will be published and supported.

Bug Fixes

  • Fixes a bug #1153(opens in a new tab) where noise on conditional gates was always being applied regardless of whether the conditional gate was actually applied based on the classical register value. Now noise on a conditional gate will only be applied in the case where the conditional gate is applied.
  • Fixed issue #1126(opens in a new tab): bug in reporting measurement of a single qubit. The bug occured when copying the measured value to the output data structure.
  • There was previously a mismatch between the default reported number of qubits the Aer backend objects would say were supported and the the maximum number of qubits the simulator would actually run. This was due to a mismatch between the Python code used for calculating the max number of qubits and the C++ code used for a runtime check for the max number of qubits based on the available memory. This has been correct so by default now Aer backends will allow running circuits that can fit in all the available system memory. Fixes #1114(opens in a new tab)

No change

Ignis 0.5.2

No change

Aqua 0.8.2

No change

IBM Q Provider 0.12.0

Prelude

  • qiskit.providers.ibmq.IBMQBackend.run() method now takes one or more QuantumCircuit or Schedule. Use of QasmQobj and PulseQobj is now deprecated. Runtime configuration options, such as the number of shots, can be set via either the run() method, or the qiskit.providers.ibmq.IBMQBackend.set_options() method. The former is used as a one-time setting for the job, and the latter for all jobs sent to the backend. If an option is set in both places, the value set in run() takes precedence.
  • IBM Quantum credentials are now loaded only from sections of the qiskitrc file that start with ‘ibmq’.

New Features

  • Python 3.9 support has been added in this release. You can now run Qiskit IBMQ provider using Python 3.9.

  • qiskit.providers.ibmq.AccountProvider.backends() now has a new parameter min_num_qubits that allows you to filter by the minimum number of qubits.

  • qiskit.providers.ibmq.IBMQBackend.run() method now takes one or more QuantumCircuit or Schedule. Runtime configuration options, such as the number of shots, can be set via either the run() method, or the qiskit.providers.ibmq.IBMQBackend.set_options() method. The former is used as a one-time setting for the job, and the latter for all jobs sent to the backend. If an option is set in both places, the value set in run() takes precedence. For example:

    from qiskit import IBMQ, transpile
from qiskit.test.reference_circuits import ReferenceCircuits
 
provider = IBMQ.load_account()
backend = provider.get_backend('ibmq_vigo')
circuits = transpile(ReferenceCircuits.bell(), backend=backend)
default_shots = backend.options.shots  # Returns the backend default of 1024 shots.
backend.set_options(shots=2048)        # All jobs will now have use 2048 shots.
backend.run(circuits)                  # This runs with 2048 shots.
backend.run(circuits, shots=8192)      # This runs with 8192 shots.
backend.run(circuits)                  # This again runs with 2048 shots.

  • qiskit.providers.ibmq.experiment.Experiment now has three additional attributes, hub, group, and project, that identify the provider used to create the experiment.

  • You can now assign an experiment_id to a job when submitting it using qiskit.providers.ibmq.IBMQBackend.run(). You can use this new field to group together a collection of jobs that belong to the same experiment. The qiskit.providers.ibmq.IBMQBackendService.jobs() method was also updated to allow filtering by experiment_id.

  • qiskit.providers.ibmq.experiment.Experiment now has two additional attributes:

    • share_level: The level at which the experiment is shared which determines who can see it when listing experiments. This can be updated.
    • owner: The ID of the user that uploaded the experiment. This is set by the server and cannot be updated.

  • The method qiskit.providers.ibmq.experimentservice.ExperimentService.experiments() now accepts hub, group, and project as filtering keywords.

  • Methods qiskit.providers.ibmq.experiment.ExperimentService.experiments() and qiskit.providers.ibmq.experiment.ExperimentService.analysis_results() now support a limit parameter that allows you to limit the number of experiments and analysis results returned.

  • The method qiskit.providers.ibmq.experimentservice.ExperimentService.experiments() now accepts exclude_mine and mine_only as filtering keywords.

  • The method qiskit.providers.ibmq.experimentservice.ExperimentService.experiments() now accepts exclude_public and public_only as filtering keywords.

  • qiskit.providers.ibmq.managed.IBMQJobManager.run() now accepts a single QuantumCircuit or Schedule in addition to a list of them.

  • The least_busy() function now skips backends that are operational but paused, meaning they are accepting but not processing jobs.

  • You can now pickle an IBMQJob instance, as long as it doesn’t contain custom data that is not picklable (e.g. in Qobj header).

  • You can now use the two new methods, qiskit.providers.ibmq.AccountProvider.services() and qiskit.providers.ibmq.AccountProvider.service() to find out what services are available to your account and get an instance of a particular service.

  • The qiskit.providers.ibmq.IBMQBackend.reservations() method now always returns the reservation scheduling modes even for reservations that you don’t own.

Upgrade Notes

  • A number of previously deprecated methods and features have been removed, including:

    • qiskit.providers.ibmq.job.IBMQJob.to_dict()
    • qiskit.providers.ibmq.job.IBMQJob.from_dict()
    • Qconfig.py support
    • Use of proxy URLs that do not include protocols

  • A new parameter, limit is now the first parameter for both qiskit.providers.ibmq.experiment.ExperimentService.experiments() and qiskit.providers.ibmq.experiment.ExperimentService.analysis_results() methods. This limit has a default value of 10, meaning by deafult only 10 experiments and analysis results will be returned.

  • IBM Quantum credentials are now loaded only from sections of the qiskitrc file that start with ‘ibmq’. This allows the qiskitrc file to be used for other functionality.

Deprecation Notes

  • Use of QasmQobj and PulseQobj in the qiskit.providers.ibmq.IBMQBackend.run() method is now deprecated. QuantumCircuit and Schedule should now be used instead.

  • The backends attribute of qiskit.providers.ibmq.AccountProvider has been renamed to backend (sigular). For backward compatibility, you can continue to use backends, but it is deprecated and will be removed in a future release. The qiskit.providers.ibmq.AccountProvider.backends() method remains unchanged. For example:

    backend = provider.backend.ibmq_vigo   # This is the new syntax.
backend = provider.backends.ibmq_vigo  # This is deprecated.
backends = provider.backends()         # This continues to work as before.

  • Setting of the IBMQJob client_version attribute has been deprecated. You can, however, continue to read the value of attribute.

  • “The validate_qobj keyword in qiskit.providers.ibmq.IBMQBackend.run() is deprecated and will be removed in a future release. If you’re relying on this schema validation you should pull the schemas from the Qiskit/ibmq-schemas(opens in a new tab) and directly validate your payloads with that.

Bug Fixes

  • Fixes the issue wherein a job could be left in the CREATING state if job submit fails half-way through.
  • Fixes the issue wherein using Jupyter backend widget would fail if the backend’s basis gates do not include the traditional u1, u2, and u3. Fixes #844(opens in a new tab)
  • Fixes the infinite loop raised when passing an IBMQRandomService instance to a child process.
  • Fixes the issue wherein a TypeError is raised if the server returns an error code but the response data is not in the expected format.
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