published-canonicalmethodmaha-epistemic/1.0

Randomized benchmarking

A sequence-based protocol that estimates average operation error from the decay of randomized gate sequences. This candidate isolates the cited result from broader claims about scaling, fault tolerance, manufacturability, economics, and useful computational advantage.

Bounded definition

A sequence-based protocol that estimates average operation error from the decay of randomized gate sequences.

What the cited work establishes

The paper proposes a scalable randomized-benchmarking protocol and derives fitting models for estimating an average error rate under its noise assumptions.

The models, apparatus, protocols, datasets, and comparisons reported in Scalable and Robust Randomized Benchmarking of Quantum Processes.

Claims: urn:maha:claim:randomized-benchmarking

What remains a separate question

The fitted average is not a complete error model and can hide gate dependence, leakage, crosstalk, and temporal structure.

Randomized benchmarking does not fully identify coherent structure, leakage, crosstalk, non-Markovian behavior, or application-specific circuit performance.

Connected domain graph

Typed dependencies preserve publication state.

Only independently canonical records receive public links and relation statements. Draft graph topology remains private.

mechanistic dependencycanonical

Quantum hardware benchmark scope

outbound connection · comparison

Benchmark interpretation requires the exact gate set, sequence ensemble, fit, and noise assumptions.

mechanistic dependencycanonical

Interleaved randomized benchmarking

inbound connection · method

The interleaved protocol depends on a separately measured reference randomized-benchmarking decay.

Claim ledger

Every proposition keeps its own evidence state.

theoretical-modelsingle-study

The cited protocol derives scalable fitting models for average error rates under broad but explicit noise assumptions.

Scope
The models, apparatus, protocols, datasets, and comparisons reported in Scalable and Robust Randomized Benchmarking of Quantum Processes.
Boundary
The fitted average is not a complete error model and can hide gate dependence, leakage, crosstalk, and temporal structure.
Uncertainty
No platform-independent uncertainty interval exists; numerical values remain attached to the source experiment or model and its stated assumptions.
Replication
This candidate records one bounded source package. Independent replications and contradictory measurements must be compiled as separate records before maturity is upgraded.

Primary sources

Citation, locator, rights, and boundary travel together.

  1. Source 1 · Physical Review Letters, American Physical Society

    Scalable and Robust Randomized Benchmarking of Quantum Processes

    Easwar Magesan, J. M. Gambetta, Joseph Emerson

    Exact locator
    Abstract; protocol; fitting models; numerical examples.
    Establishes
    The paper proposes a scalable randomized-benchmarking protocol and derives fitting models for estimating an average error rate under its noise assumptions.
    Boundary
    Randomized benchmarking does not fully identify coherent structure, leakage, crosstalk, non-Markovian behavior, or application-specific circuit performance.
    Rights basis
    citation with paraphrase · Maha paraphrases the source-level result and links to the version of record; no article passage is reproduced.