Feat quantinuum provider integration - #209
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hJaffaliColibritd
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Aug 14, 2026
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Partial review, will continue later
MoHermes
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August 25, 2026 11:23
| assert isinstance(backend_result, BackendResult) | ||
| state = backend_result.get_state() | ||
| expectation_values = { | ||
| label: float(np.vdot(state, observable.matrix @ state).real) |
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Changed it to the same computation we do with P grouping 3571952
| grouped_probabilities.append(probabilities) | ||
| return extract_sampled_observable_result(job, grouped_probabilities) | ||
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| if job is None and job_ref.annotations.description == "mpqp:observable": |
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How do we do if the user wants to retrive result from jobs he launched without using MPQP ? he will not have the annotations rigth ?
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Yes but they can still provide the MPQP equivalent of the job (the same observables and targets).
It's not very good but I can't think of anything else 3571952
…pqp into feat-quantinuum-provider
# Conflicts: # requirements-dev.txt
…eat-quantinuum-provider
…eat-quantinuum-provider
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Adds Quantinuum backend support to MPQP using both Quantinuum Nexus and local TKET simulators.
What’s included
pip install mpqp[quantinuum]Local TKET Aer,Aer StateandQulacssimulatorsH-Seriesnoiseless simulators and noisy emulatorsAerandQulacssimulatorssetup_connections, then authentication usingqnx.login()QubitPauliOperatorSupported job types