Latest updates

15 October 2024

• Support for backend.run has ended. See the appropriate migration guide if you have not yet migrated to using primitives.

1 October 2024

• Parameterized delay gates have been deprecated.

15 August 2024

• Probabilistic error amplification (PEA) error mitigation method is now available for Estimator V2. See the ZneOptions API reference for more details.
• A new helper program noise-learner is now available. It allows characterizing the noise processes affecting the gates in one or more circuits of interest, based on the Pauli-Lindblad noise model. The output noise model can then be passed to Estimator via the layer_noise_model option.
• V1 primitives are no longer supported.

3 July 2024

• The following endpoints are deprecated and will be removed on or after 3 October 2024: GET /stream/jobs and GET /stream/jobs/{id}. This removal has the following impacts:

  • After the endpoints are removed, job.stream_results() and job.interim_results() will be removed from the qiskit-ibm-runtime client.
  • Additional methods, such as job.result() currently use the deprecated endpoints. Upgrade to qiskit_ibm_runtime 0.25 or later before the endpoints are removed to avoid disruption.

18 June 2024

• The optimization_level option is deprecated for Estimator V2 and will be removed no sooner than 30 September 2024.

3 June 2024

• Probabilistic error amplification (PEA) error mitigation method is now available as an experimental option for Estimator V2. See the EstimatorOptions API reference for more details.

28 March 2024

• Qiskit Runtime primitives now support OpenQASM 3 as the input format for circuits and standard JSON output format. See Qiskit Runtime REST API for examples.

• Qiskit Transpiler Service client v0.3.0

  • The Qiskit Transpiler Service leverages IBM Cloud® resources to provide users with the latest transpilation capabilities from the Qiskit SDK. It offers a Python library that helps users seamlessly integrate the service into their current Qiskit patterns and workflows. Perhaps most importantly, the service invites users to experiment with new and improved AI-powered transpiler passes — cutting-edge tools that might be faster and produce better results than traditional transpilation methods. Read the blog for more information.

16 September 2024

• Introducing the Qiskit Functions preview, for IBM Quantum Premium Plan users. To get started, pip install qiskit-ibm-catalog and explore the Qiskit Functions documentation. With the Qiskit Functions Catalog client, you can submit workloads to abstracted services designed to accelerate your research. Sign in with your existing IBM Quantum Platform credentials.

  The Qiskit Functions Catalog preview provides access to Premium Plan users to explore the available functions, including those written by IBM and those written by other members of our ecosystem. The catalog contains two kinds of functions: circuit functions and application functions.

  • Circuit functions provide a simplified interface for running circuits. They receive user-provided abstract circuits and observables as input, then manage synthesis, optimization, and execution of the representative ISA circuit. Circuit functions bring together the latest capabilities in transpilation, error suppression, and error mitigation to make utility-grade performance accessible out of the box. This allows computational scientists to focus on mapping their problems to circuits, rather than building the pattern for each problem from scratch.

  • Application functions cover higher-level tasks, like exploring algorithms and domain-specific use cases. Enterprise developers and data scientists may not have the background quantum information science knowledge for working with circuits, and instead hope to bring their domain knowledge to advance quantum computing algorithms and applications. With application functions, users can enter their classical inputs and receive solutions so they can more easily experiment with plugging quantum into their domain-specific workflows.

• With the launch of the Qiskit Functions Catalog, Premium Plan developers can explore the IBM Circuit function. The IBM Circuit function includes the latest AI-powered extensions to Qiskit for circuit synthesis, optimization, and scheduling, as well as advanced error mitigation methods to return the most accurate estimations possible with today's hardware.

  Users can purchase licenses for the following functions contributed by our partners at Q-CTRL, QEDMA, Algorithmiq, and Qunasys.

• Circuit functions

  • Q-CTRL is releasing a circuit function that applies AI-driven quantum control techniques, with which users can scale successfully to larger problems.
  • Algorithmiq is releasing a circuit function that applies TEM (tensor-network error mitigation), an error mitigation method for obtaining estimators with fewer shots than the PEC (probabilistic error cancellation) method.
  • QEDMA is releasing a circuit function that uses proprietary protocols for efficient and accurate characterization of the noisy QPU operations, and applies error suppression and error mitigation based on the characterization data.

• Application functions

  • QunaSys is releasing a chemistry application function comprising three algorithms meant to solve the ground state energy estimation (GSEE) problem.
  • Q-CTRL is releasing an optimization solver with which users can pass a graph or an objective, and receive solution costs.