Optimization of a solid-state electron spin qubit using gate set tomography

Dehollain, Juan P.; Muhonen, Juha T.; Blume-Kohout, Robin; Rudinger, Kenneth M.; Gamble, John King; Nielsen, Erik; Laucht, Arne; Simmons, Stephanie; Kalra, Rachpon; Dzurak, Andrew S.; Morello, Andrea

doi:10.1088/1367-2630/18/10/103018

Title: Optimization of a solid-state electron spin qubit using gate set tomography

Journal Article · Sat Oct 01 00:00:00 EDT 2016 · New Journal of Physics

DOI:https://doi.org/10.1088/1367-2630/18/10/103018· OSTI ID:1328807

; Muhonen, Juha T.; Blume-Kohout, Robin; Rudinger, Kenneth M.; Gamble, John King; Nielsen, Erik; Laucht, Arne; Simmons, Stephanie; Kalra, Rachpon; Dzurak, Andrew S.; Morello, Andrea

Here, state of the art qubit systems are reaching the gate fidelities required for scalable quantum computation architectures. Further improvements in the fidelity of quantum gates demands characterization and benchmarking protocols that are efficient, reliable and extremely accurate. Ideally, a benchmarking protocol should also provide information on how to rectify residual errors. Gate Set Tomography (GST) is one such protocol designed to give detailed characterization of as-built qubits. We implemented GST on a high-fidelity electron-spin qubit confined by a single ³¹P atom in ²⁸Si. The results reveal systematic errors that a randomized benchmarking analysis could measure but not identify, whereas GST indicated the need for improved calibration of the length of the control pulses. After introducing this modification, we measured a new benchmark average gate fidelity of 99.942(8)%, an improvement on the previous value of 99.90(2)%. Furthermore, GST revealed high levels of non-Markovian noise in the system, which will need to be understood and addressed when the qubit is used within a fault-tolerant quantum computation scheme.

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

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1328807

Alternate ID(s):: OSTI ID: 1325155; OSTI ID: 1328808

Report Number(s):: SAND-2016-4786J

Journal Information:: New Journal of Physics, Journal Name: New Journal of Physics Vol. 18 Journal Issue: 10; ISSN 1367-2630

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Cited by: 51 works

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Experimental neural network enhanced quantum tomography Palmieri, Adriano Macarone; Kovlakov, Egor; Bianchi, Federico npj Quantum Information, Vol. 6, Issue 1 https://doi.org/10.1038/s41534-020-0248-6	journal	February 2020
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