Publish sample Z phase errors #5378
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95-martin-orion
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a team,
cduck,
verult,
vtomole and
wcourtney
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CC @vcatherine |
| if TYPE_CHECKING: | ||
| import cirq | ||
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| _ZPhaseData = Dict[str, Dict[str, Dict[Tuple[ops.Qid, ...], float]]] |
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Optional: Do you think it is better to call this _ZPhaseDataType?
Also, it might be good to document what the keys of this dict of dict of dict is.
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When I made this, I didn't realize we already had PhasedFSimCalibrationResult which uses a different structure but fulfills the same purpose. Do you think converting to that would help? (Converting may also be useful for #5397)
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I am not sure. That class has some extra stuff like an associated EngineJob and Calibration which may not be relevant. I like the idea of using a typed class rather than a complicated nest of dictionaries though.
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Tried making this a class, but it didn't help much (mostly ended up being a wrapper around the same nest of dicts). Opted instead to move the type to util, add a docstring, and share it between the files in this PR.
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| # 5. Extract entangling angle errors. | ||
| fsim_errors = {} | ||
| gate_zphase_code_pairs: Dict[Type['cirq.Gate'], str] = { |
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Should this be a CONSTANT and put at the top?
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Done for this and similar constants in the function. (Also made gate_times_ns an argument to partially address the dangling TODO)
| 'weber': 1635923188204, # 2021-11-03 07:06:28.204 UTC | ||
| } | ||
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| ZPHASE_DATA = {'rainbow': 'rainbow_zphase.json', 'weber': 'weber_zphase.json'} |
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I am a little concerned about the naming scheme here. Do you think we should put in an extra qualifier, such as 'rainbow_sample_zphase.json' or 'rainbow_average_zphase.json' in case we need to distinguish it from data from a specific day?
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Found and added dates for these.
| } | ||
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| ZPHASE_DATA = {'rainbow': 'rainbow_zphase.json', 'weber': 'weber_zphase.json'} | ||
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Do we need to add these files to a package somewhere so they get packaged up correctly?
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These are under cirq/devices/calibrations, which is already packaged in setup.py.
dstrain115
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dstrain115
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A few nits, but otherwise seems fine to me.
| # TODO: acquire this based on the target device. | ||
| # Default map of gates to their durations. | ||
| DEFAULT_GATE_NS: Dict[Type['cirq.Gate'], float] = { | ||
| ops.ZPowGate: 25.0, |
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Is this correct? ZPow should generally be zero unless it is a physical Z.
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Yes, this is for physical Z. Virtual Z is handled deeper in the noise models.
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This PR adds Z phase angles for sqrt-ISWAP gates and tools for accessing them. Follow-up to quantumlib#5364. Z phase angles are captured in a different calibration process than the other error metrics, and thus require a slightly different pipeline to access them. Key points to note about this data: - This only includes zeta and gamma, as theta and phi already appear in the QCS metrics and chi is not currently captured by any calibration process we use. - Qubit (6, 1) was in a bad state when the Weber data was taken, and thus has no Z phase angles in the sample data. The pipeline will treat this as zeta=gamma=0 for gates touching this qubit.
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This PR adds Z phase angles for sqrt-ISWAP gates and tools for accessing them. Follow-up to #5364.
Z phase angles are captured in a different calibration process than the other error metrics, and thus require a slightly different pipeline to access them. Key points to note about this data: