Abstracts
Poster Abstracts | Talk Abstracts
Choosing sequence lengths for single-shot-randomized Clifford benchmarking
Presenting Author: Alex Kwiatkowski, University of Colorado
Contributing Author(s): Scott Glancy, Emanuel Knill
We analyze randomized benchmarking of Clifford gates when a new random sequence is drawn for each single shot of the experiment, where a single shot consists of a state preparation followed by a gate sequence and then a measurement. We present calculations of Fisher-efficient choices of sequence lengths for a single-qubit experiment that minimize the total experiment time needed to achieve a fixed statistical uncertainty and take into account the different time-costs of shots with different sequence lengths. We also describe strategies for choosing sequence lengths that can help diagnose the presence of gate errors that are not constant throughout an experiment.
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