Operational, gauge-free quantum tomography

Di Matteo, Olivia; Gamble, John; Granade, Chris; Rudinger, Kenneth; Wiebe, Nathan

doi:10.22331/q-2020-11-17-364

Operational, gauge-free quantum tomography

Journal Article · Tue Nov 17 00:00:00 EST 2020 · Quantum

DOI:https://doi.org/10.22331/q-2020-11-17-364· OSTI ID:1725845

Di Matteo, Olivia ^[1]; Gamble, John ^[2]; Granade, Chris ^[2]; Rudinger, Kenneth ^[3]; Wiebe, Nathan ^[4]

TRIUMF, Vancouver, BC (Canada); Univ. of Waterloo, ON (Canada)
Microsoft Research, Redmond, WA (United States). Quantum Architectures and Computation Group
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Microsoft Research, Redmond, WA (United States). Quantum Architectures and Computation Group; Univ. of Washington, Seattle, WA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

As increasingly impressive quantum information processors are realized in laboratories around the world, robust and reliable characterization of these devices is now more urgent than ever. These diagnostics can take many forms, but one of the most popular categories is tomography, where an underlying parameterized model is proposed for a device and inferred by experiments. Here, we introduce and implement efficient operational tomography, which uses experimental observables as these model parameters. This addresses a problem of ambiguity in representation that arises in current tomographic approaches (the gauge problem). Solving the gauge problem enables us to efficiently implement operational tomography in a Bayesian framework computationally, and hence gives us a natural way to include prior information and discuss uncertainty in fit parameters. We demonstrate this new tomography in a variety of different experimentally-relevant scenarios, including standard process tomography, Ramsey interferometry, randomized benchmarking, and gate set tomography.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)

Grant/Contract Number:: AC04-94AL85000; NA0003525

OSTI ID:: 1725845

Report Number(s):: SAND--2020-12530J; 692239

Journal Information:: Quantum, Journal Name: Quantum Vol. 4; ISSN 2521-327X

Publisher:: Quantum Science Open CommunityCopyright Statement

Country of Publication:: United States

Language:: English

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