Randomized benchmarking with gate-dependent noise

We analyze randomized benchmarking for arbitrary gate-dependent noise and prove that the exact impact of gate-dependent noise can be described by a single perturbation term that decays exponentially with the sequence length. That is, the exact behavior of randomized benchmarking under general gate-d...

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Main Author: Joel J. Wallman
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2018-01-01
Series:Quantum
Online Access:https://quantum-journal.org/q-2018-01-29-47/pdf/
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author Joel J. Wallman
author_facet Joel J. Wallman
author_sort Joel J. Wallman
collection DOAJ
description We analyze randomized benchmarking for arbitrary gate-dependent noise and prove that the exact impact of gate-dependent noise can be described by a single perturbation term that decays exponentially with the sequence length. That is, the exact behavior of randomized benchmarking under general gate-dependent noise converges exponentially to a true exponential decay of exactly the same form as that predicted by previous analysis for gate-independent noise. Moreover, we show that the operational meaning of the decay parameter for gate-dependent noise is essentially unchanged, that is, we show that it quantifies the average fidelity of the noise between ideal gates. We numerically demonstrate that our analysis is valid for strongly gate-dependent noise models. We also show why alternative analyses do not provide a rigorous justification for the empirical success of randomized benchmarking with gate-dependent noise.
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spelling doaj.art-386403fa96d54222a7a0846da0371f642022-12-21T22:30:45ZengVerein zur Förderung des Open Access Publizierens in den QuantenwissenschaftenQuantum2521-327X2018-01-0124710.22331/q-2018-01-29-4710.22331/q-2018-01-29-47Randomized benchmarking with gate-dependent noiseJoel J. WallmanWe analyze randomized benchmarking for arbitrary gate-dependent noise and prove that the exact impact of gate-dependent noise can be described by a single perturbation term that decays exponentially with the sequence length. That is, the exact behavior of randomized benchmarking under general gate-dependent noise converges exponentially to a true exponential decay of exactly the same form as that predicted by previous analysis for gate-independent noise. Moreover, we show that the operational meaning of the decay parameter for gate-dependent noise is essentially unchanged, that is, we show that it quantifies the average fidelity of the noise between ideal gates. We numerically demonstrate that our analysis is valid for strongly gate-dependent noise models. We also show why alternative analyses do not provide a rigorous justification for the empirical success of randomized benchmarking with gate-dependent noise.https://quantum-journal.org/q-2018-01-29-47/pdf/
spellingShingle Joel J. Wallman
Randomized benchmarking with gate-dependent noise
Quantum
title Randomized benchmarking with gate-dependent noise
title_full Randomized benchmarking with gate-dependent noise
title_fullStr Randomized benchmarking with gate-dependent noise
title_full_unstemmed Randomized benchmarking with gate-dependent noise
title_short Randomized benchmarking with gate-dependent noise
title_sort randomized benchmarking with gate dependent noise
url https://quantum-journal.org/q-2018-01-29-47/pdf/
work_keys_str_mv AT joeljwallman randomizedbenchmarkingwithgatedependentnoise