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Add resilience.zne.amplifier to EstimatorV2 options #1679

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merged 4 commits into from
May 15, 2024
Merged

Add resilience.zne.amplifier to EstimatorV2 options #1679

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beda485
Add resilience.zne.amplifier to EstimatorV2 options
ihincks May 14, 2024
cd773c6
add reno
ihincks May 14, 2024
38ab857
remove redundant docstring
ihincks May 14, 2024
54d0e41
Merge branch 'main' into add-zne-amplifier
kt474 May 15, 2024
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15 changes: 15 additions & 0 deletions qiskit_ibm_runtime/options/zne_options.py
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Expand Up @@ -37,6 +37,18 @@ class ZneOptions:
"""Zero noise extrapolation mitigation options.

Args:
amplifier: Which technique to use for amplifying noise. One of:

* `"gate_folding"` (default) uses 2-qubit gate folding to amplify noise. If the noise
factor requires amplifying only a subset of the gates, then these gates are chosen
randomly.
* `"gate_folding_front"` uses 2-qubit gate folding to amplify noise. If the noise
factor requires amplifying only a subset of the gates, then these gates are selected
from the front of the topologically ordered DAG circuit.
* `"gate_folding_back"` uses 2-qubit gate folding to amplify noise. If the noise
factor requires amplifying only a subset of the gates, then these gates are selected
from the back of the topologically ordered DAG circuit.

noise_factors: Noise factors to use for noise amplification. Default: (1, 3, 5).

extrapolator: Extrapolator(s) to try (in order) for extrapolating to zero noise.
Expand All @@ -50,6 +62,9 @@ class ZneOptions:
Default: ("exponential", "linear").
"""

amplifier: Union[
UnsetType, Literal["gate_folding", "gate_folding_front", "gate_folding_back"]
] = Unset
noise_factors: Union[UnsetType, Sequence[float]] = Unset
extrapolator: Union[UnsetType, ExtrapolatorType, Sequence[ExtrapolatorType]] = Unset

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11 changes: 11 additions & 0 deletions release-notes/unreleased/1679.feat.rst
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@@ -0,0 +1,11 @@
The `ZneOptions.amplifier` option was added, which can be one of these strings:

* `"gate_folding"` (default) uses 2-qubit gate folding to amplify noise. If the noise
factor requires amplifying only a subset of the gates, then these gates are chosen
randomly.
* `"gate_folding_front"` uses 2-qubit gate folding to amplify noise. If the noise
factor requires amplifying only a subset of the gates, then these gates are selected
from the front of the topologically ordered DAG circuit.
* `"gate_folding_back"` uses 2-qubit gate folding to amplify noise. If the noise
factor requires amplifying only a subset of the gates, then these gates are selected
from the back of the topologically ordered DAG circuit.
1 change: 1 addition & 0 deletions test/integration/test_estimator_v2.py
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Expand Up @@ -82,6 +82,7 @@ def test_estimator_v2_options(self, service):
estimator.options.seed_estimator = 42
estimator.options.resilience.measure_mitigation = True
estimator.options.resilience.zne_mitigation = True
estimator.options.resilienc.zne.amplifier = "gate_folding_back"
estimator.options.resilience.zne.noise_factors = [3, 5]
estimator.options.resilience.zne.extrapolator = "linear"
estimator.options.resilience.pec_mitigation = False
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