New immanant and character-based filters reduce computational cost in bosonic randomized benchmarking while providing simple variance expressions and constant low variance for the character filter.
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quant-ph 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
Derives analytic expressions for randomized benchmarking under temporally correlated non-Markovian noise, identifies cases where correlations are invisible to RB, and shows they can affect diamond norm errors.
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Kostant relation in filtered randomized benchmarking for passive bosonic devices
New immanant and character-based filters reduce computational cost in bosonic randomized benchmarking while providing simple variance expressions and constant low variance for the character filter.
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Blind-spots of Randomized Benchmarking Under Temporal Correlations
Derives analytic expressions for randomized benchmarking under temporally correlated non-Markovian noise, identifies cases where correlations are invisible to RB, and shows they can affect diamond norm errors.