Kavli Affiliate: Eliska Greplova
| First 5 Authors: Ana Silva, Ana Silva, , ,
| Summary:
As quantum technology matures, the efficient benchmarking of quantum devices
remains a key challenge. Although sample-efficient, information-theoretic
benchmarking techniques have recently been proposed, there is still a gap in
adapting these techniques to contemporary experiments. In this work, we
re-formulate five of the most common randomized benchmarking techniques in the
modern language of the gate-set shadow tomography. This reformulation brings
along several concrete advantages over conventional formulations of randomized
benchmarking. For standard and interleaved randomized benchmarking, we can
reduce the required gate-set size and, using median-of-means estimators, also
reduce the required experimental sample size. For simultaneous and correlated
randomized benchmarking, we can additionally reconstruct the Pauli-terms of
correlated noise channels using additional post-processing of only a single
experimental dataset. We also present a minimal approach to extract leakage
errors. Our work provides a clear avenue for comprehensive, reliable, and
convenient benchmarking of quantum devices, with all methods formulated under a
single umbrella technique that can be easily adapted to a range of experimental
quantities and gate sets.
| Search Query: ArXiv Query: search_query=au:”Eliska Greplova”&id_list=&start=0&max_results=3