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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2020-12-01
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Series: | npj Quantum Information |
Online Access: | https://doi.org/10.1038/s41534-020-00330-w |
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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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