Zero-noise extrapolation (ZNE) is an error mitigation technique in which an expectation value is computed at different noise levels and, as a second step, the ideal expectation value is inferred by extrapolating the measured results to the zero-noise limit (see the section What is the theory behind ZNE?).
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The diagram shows the workflow of the zero noise extrapolation (ZNE) in Mitiq.
You can get started with ZNE in Mitiq with the following sections of the user guide:
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zne-1-intro.md
zne-2-use-case.md
zne-3-options.md
zne-4-low-level.md
zne-5-theory.md
Here are some examples on how to use ZNE in Mitiq:
- Zero-noise extrapolation with Qiskit on IBMQ backends
- Zero-noise extrapolation with Pennylane on IBMQ backends
- Zero-noise extrapolation with Braket on the IonQ backend
- Zero-noise extrapolation of the energy landscape of a variational circuit with Cirq on a simulator
You can find many more in the Examples section of the documentation.