Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session G35: Quantum Characterization, Verification, and Validation: Noise and Cross-Talk
11:30 AM–2:30 PM,
Tuesday, March 15, 2022
Room: McCormick Place W-193B
Sponsoring
Unit:
DQI
Chair: Senrui Chen, University of Chicago
Abstract: G35.00011 : Estimating gate-set properties from random sequences
1:30 PM–1:42 PM
Presenter:
Jonas Helsen
(Univ of Amsterdam)
Authors:
Jonas Helsen
(Univ of Amsterdam)
Marios Ioannou
(Freie Universitaet Berlin)
Ingo Roth
(Quantum Research Centre, Technology Innovation Institute (TII), Abu Dhabi)
Jonas Kitzinger
(FU Berlin)
Emilio Onorati
(University College London)
Albert H Werner
(QMath - University of Copenhagen)
Jens Eisert
(FU Berlin)
In this work, we show that by measuring random gate sequences, one can accurately and efficiently estimate a wealth of different properties of noisy implementations of gate sets. This simple experimental protocol is independent of the properties one intends to estimate. It generates `sequence shadows' from which gate-set properties can be extracted, through classical post-processing, in a state preparation and measurement error robust way. Our schemes include protocols to extract many average gate fidelities with respect to arbitrary unitary channels. This - as a special case - emulates (interleaved) randomized benchmarking, but is vastly more general in its applicability. We establish that the sequence estimation scheme can be used as a primitive for partial, compressive and full process tomography, and the learning of Pauli noise. This gives rise to channel variants of shadow estimation with close-to optimal performance guarantees. Finally, we discuss applications to the engineering cycle for the optimization of quantum gates, for instance as a novel method to diagnose crosstalk.
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