Introducing the Executor primitive
We're excited to announce the release of the new Executor primitive and a new version of the noise-learning helper class, NoiseLearnerV3, both of which were first previewed at QDC 2025.
Together with Samplomatic, they make up the directed execution model, which provides full transparency and control to fine-tune your error mitigation workflow. The Probabilistic error cancellation with shaded lightcones tutorial, for example, demonstrates how this model is used to combine advanced techniques, including shaded lightcones, probabilistic error cancellation (PEC), Twirled Readout Error eXtinction (TREX), and measurement-based postselection, to further improve the result quality.
If you prefer a higher level of abstraction, EstimatorV2 in Qiskit Runtime continues to provide several built-in error mitigation and suppression techniques, which you can easily tune using the resilience_level option.
To learn more, see the following guides:
Both of these new features are currently in beta and require qiskit-ibm-runtime version 0.47.0 or higher.