Leakage detection for a transmon-based surface code

Abstract Leakage outside of the qubit computational subspace, present in many leading experimental platforms, constitutes a threatening error for quantum error correction (QEC) for qubits. We develop a leakage-detection scheme via Hidden Markov models (HMMs) for transmon-based implementations of the...

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Main Authors: Boris Mihailov Varbanov, Francesco Battistel, Brian Michael Tarasinski, Viacheslav Petrovych Ostroukh, Thomas Eugene O’Brien, Leonardo DiCarlo, Barbara Maria Terhal
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-020-00330-w
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spelling doaj-ae09303afbb4483cbb08b5f96b9e808d2020-12-20T12:39:51ZengNature Publishing Groupnpj Quantum Information2056-63872020-12-016111310.1038/s41534-020-00330-wLeakage detection for a transmon-based surface codeBoris Mihailov Varbanov0Francesco Battistel1Brian Michael Tarasinski2Viacheslav Petrovych Ostroukh3Thomas Eugene O’Brien4Leonardo DiCarlo5Barbara Maria Terhal6QuTech, Delft University of TechnologyQuTech, Delft University of TechnologyQuTech, Delft University of TechnologyQuTech, Delft University of TechnologyInstituut-Lorentz, Universiteit LeidenQuTech, Delft University of TechnologyQuTech, Delft University of TechnologyAbstract Leakage outside of the qubit computational subspace, present in many leading experimental platforms, constitutes a threatening error for quantum error correction (QEC) for qubits. We develop a leakage-detection scheme via Hidden Markov models (HMMs) for transmon-based implementations of the surface code. By performing realistic density-matrix simulations of the distance-3 surface code (Surface-17), we observe that leakage is sharply projected and leads to an increase in the surface-code defect probability of neighboring stabilizers. Together with the analog readout of the ancilla qubits, this increase enables the accurate detection of the time and location of leakage. We restore the logical error rate below the memory break-even point by post-selecting out leakage, discarding less than half of the data for the given noise parameters. Leakage detection via HMMs opens the prospect for near-term QEC demonstrations, targeted leakage reduction and leakage-aware decoding and is applicable to other experimental platforms.https://doi.org/10.1038/s41534-020-00330-w
collection DOAJ
language English
format Article
sources DOAJ
author Boris Mihailov Varbanov
Francesco Battistel
Brian Michael Tarasinski
Viacheslav Petrovych Ostroukh
Thomas Eugene O’Brien
Leonardo DiCarlo
Barbara Maria Terhal
spellingShingle Boris Mihailov Varbanov
Francesco Battistel
Brian Michael Tarasinski
Viacheslav Petrovych Ostroukh
Thomas Eugene O’Brien
Leonardo DiCarlo
Barbara Maria Terhal
Leakage detection for a transmon-based surface code
npj Quantum Information
author_facet Boris Mihailov Varbanov
Francesco Battistel
Brian Michael Tarasinski
Viacheslav Petrovych Ostroukh
Thomas Eugene O’Brien
Leonardo DiCarlo
Barbara Maria Terhal
author_sort Boris Mihailov Varbanov
title Leakage detection for a transmon-based surface code
title_short Leakage detection for a transmon-based surface code
title_full Leakage detection for a transmon-based surface code
title_fullStr Leakage detection for a transmon-based surface code
title_full_unstemmed Leakage detection for a transmon-based surface code
title_sort leakage detection for a transmon-based surface code
publisher Nature Publishing Group
series npj Quantum Information
issn 2056-6387
publishDate 2020-12-01
description Abstract Leakage outside of the qubit computational subspace, present in many leading experimental platforms, constitutes a threatening error for quantum error correction (QEC) for qubits. We develop a leakage-detection scheme via Hidden Markov models (HMMs) for transmon-based implementations of the surface code. By performing realistic density-matrix simulations of the distance-3 surface code (Surface-17), we observe that leakage is sharply projected and leads to an increase in the surface-code defect probability of neighboring stabilizers. Together with the analog readout of the ancilla qubits, this increase enables the accurate detection of the time and location of leakage. We restore the logical error rate below the memory break-even point by post-selecting out leakage, discarding less than half of the data for the given noise parameters. Leakage detection via HMMs opens the prospect for near-term QEC demonstrations, targeted leakage reduction and leakage-aware decoding and is applicable to other experimental platforms.
url https://doi.org/10.1038/s41534-020-00330-w
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