2022
DOI: 10.48550/arxiv.2207.00553
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Syndrome-Derived Error Rates as a Benchmark of Quantum Hardware

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Cited by 2 publications
(4 citation statements)
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References 18 publications
(22 reference statements)
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“…We can analyse the commonly occurring errors in fault-tolerant circuits using syndrome outcomes to infer the events that are likely to have caused them 32 . This is done using the method detailed in the 2a is implemented using either real-time feedforward (FF) or post-selection (PS).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We can analyse the commonly occurring errors in fault-tolerant circuits using syndrome outcomes to infer the events that are likely to have caused them 32 . This is done using the method detailed in the 2a is implemented using either real-time feedforward (FF) or post-selection (PS).…”
Section: Resultsmentioning
confidence: 99%
“…This is the number of unique errors that gives rise to the same error signature. With this information, we can then analyse the syndrome outcomes from experimental data, looking for these signatures and determining the probabilities with which they occur 32 .…”
Section: Analysis In Terms Of Single-gate Errorsmentioning
confidence: 99%
“…Syndrome information is designed to allow us to pinpoint when and where errors occur on a shot-by-shot basis. However, this also allows a powerful analysis of errors when we have many samples of syndrome information: we can determine the probabilities of different kinds of errors at different points within the circuit [16]. By doing so we can see exactly what noise is experienced by the qubits while implementing the code.…”
Section: Microscopic Diagnosticsmentioning
confidence: 99%
“…4. The syndrome should also be analyzed to assess performance at the level of qubits and gates, using existing techniques for weight calculations of the decoding graph [15][16][17].…”
Section: Introductionmentioning
confidence: 99%