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Algorithms · Quantum benchmarking protocol

Robust randomized benchmarking of quantum processes

Estimate an average error rate for a set of operations (gates) on a quantum information processor, under a noise model general enough to allow errors that depend on both the time and the gate at which they occur.

Attested & literatureUpdated

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  • Record typeLiterature reference
  • Reference implementationrandomized_benchmarking
  • Reported costNot stated by the sources read
  • Papers1
TakesNothingWhat joins here

No input port at this edge: the record publishes no gate sequence and no register, so there is nothing here to read one off — and unlike a declared hole, nothing has been recorded about what belongs here.

Nothing in the Atlas meets this end.

ReturnsNothingWhat joins here

No output port at this edge: the record publishes no gate sequence and no register, so there is nothing here to read one off — and unlike a declared hole, nothing has been recorded about what belongs here.

Nothing in the Atlas meets this end.

This record publishes no gate sequence and no register, so there is nothing here to read an interface off. Absent rather than empty. See all 152 →

References

  • Robust randomized benchmarking of quantum processes

    Easwar Magesan, J. M. Gambetta, Joseph Emerson · 2010

    Primary source: it describes the protocol, obtains a sequence of models for the observable fidelity decay from a perturbative expansion of the errors, and states a proof that the resulting estimate of an average error rate is efficient and reliable under a noise model allowing time- and gate-dependent errors. Consult it for how the protocol is constructed, for the conditions under which the estimate remains valid, and for the numerical examples: the abstract mentions the last two without stating either, says nothing about the first, and quotes no cost figure of any kind.

Attested & literature
  • Peer-reviewed paper
Method
Curation only. This record documents the algorithm a published reference implementation demonstrates, not the demonstration itself: nothing in Leona runs Qmod. The primary reference's title, authors and submission year were read from its arXiv abs page, and the complexity claim taken from a clause of that paper's abstract (The abstract of arXiv:1009.3639, the only source read for this record, states no bound. Its cost claim is qualitative: "We are able to prove that the protocol provides an efficient and reliable estimate of an average error-rate for a set operations (gates) under a general noise model that allows for both time and gate-dependent errors" — quoted as the abstract has it, "a set operations" included. It quotes no number at all: not a count of the operations applied, not a number of repetitions or measurements, not a qubit or gate count, and no scaling in any of them; and the conditions under which the estimate remains valid are determined inside the paper rather than in the abstract. The field is therefore empty on purpose, rather than filled with a plausible bound written from memory.). No circuit was constructed, simulated or run.
Result
Pass · the record's problem statement and primary reference agree with the sources named above.
Caveat
This is a literature record. No circuit was written, compiled, simulated or run for it, no processor or simulator was benchmarked here, and no error rate was measured; the record documents the algorithm, and does not reproduce or verify any published demonstration of it. The abstract carries no numbers, so nothing here bounds what the protocol costs to run — not how many operations it applies, not how many repetitions or measurements it needs, not how many qubits it touches. The abstract also does not describe how the protocol is built: not what is randomized, not over which set of gates, not what exactly the average error rate is averaged over, and not what the conditions are under which the estimate remains valid. The paper determines those conditions; they are not restated here. What the protocol returns is one number for a set of operations, and nothing here establishes what that number implies about an individual gate or about any particular physical error mechanism. The paper reports that it illustrates the protocol through numerical examples; those are the paper's own numerics, reported as its claim and not run again for this record.
Robust randomized benchmarking of quantum processes ↗
Kind
curated reference
Reviewed by
Leona Quantum curation pass
License
Citation metadata only; source publication terms apply
randomized benchmarkingfidelity decayaverage error ratenoise modelgate characterization

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