Correcting non-independent and non-identically distributed errors with surface codes

Correcting non-independent and non-identically distributed errors with surface codes

Correcting non-independent and non-identically distributed errors with surface codes PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Konstantin Tiurev1, Peter-Jan H. S. Derks2, Joschka Roffe2, Jens Eisert2,3, and Jan-Michael Reiner1

1HQS Quantum Simulations GmbH, Rintheimer Straße 23, 76131 Karlsruhe, Germany
2Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany
3Helmholtz-Zentrum Berlin für Materialien und Energie, 14109 Berlin, Germany

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Abstract

A common approach to studying the performance of quantum error correcting codes is to assume independent and identically distributed single-qubit errors. However, the available experimental data shows that realistic errors in modern multi-qubit devices are typically neither independent nor identical across qubits. In this work, we develop and investigate the properties of topological surface codes adapted to a known noise structure by Clifford conjugations. We show that the surface code locally tailored to non-uniform single-qubit noise in conjunction with a scalable matching decoder yields an increase in error thresholds and exponential suppression of sub-threshold failure rates when compared to the standard surface code. Furthermore, we study the behaviour of the tailored surface code under local two-qubit noise and show the role that code degeneracy plays in correcting such noise. The proposed methods do not require additional overhead in terms of the number of qubits or gates and use a standard matching decoder, hence come at no extra cost compared to the standard surface-code error correction.

Quantum error correction allows to correct for arbitrary quantum noise. But common codes such as the surface code are best suited to iid unbiased noise. In this work, we tailor the surface code to non-independent and non-identically distributed errors. These noise-tailored surface codes make use of suitable locally adapted Clifford conjugations, leading to a good performance.

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Cited by

[1] Josu Etxezarreta Martinez, Patricio Fuentes, Antonio deMarti iOlius, Javier Garcia-Frias, Javier Rodríguez Fonollosa, and Pedro M. Crespo, “Multiqubit time-varying quantum channels for NISQ-era superconducting quantum processors”, Physical Review Research 5 3, 033055 (2023).

[2] Moritz Lange, Pontus Havström, Basudha Srivastava, Valdemar Bergentall, Karl Hammar, Olivia Heuts, Evert van Nieuwenburg, and Mats Granath, “Data-driven decoding of quantum error correcting codes using graph neural networks”, arXiv:2307.01241, (2023).

[3] Joschka Roffe, Lawrence Z. Cohen, Armanda O. Quintavalle, Daryus Chandra, and Earl T. Campbell, “Bias-tailored quantum LDPC codes”, Quantum 7, 1005 (2023).

[4] Eric Huang, Arthur Pesah, Christopher T. Chubb, Michael Vasmer, and Arpit Dua, “Tailoring three-dimensional topological codes for biased noise”, arXiv:2211.02116, (2022).

[5] Konstantin Tiurev, Arthur Pesah, Peter-Jan H. S. Derks, Joschka Roffe, Jens Eisert, Markus S. Kesselring, and Jan-Michael Reiner, “The domain wall color code”, arXiv:2307.00054, (2023).

[6] Yue Ma, Michael Hanks, and M. S. Kim, “Non-Pauli errors can be efficiently sampled in qudit surface codes”, arXiv:2303.16837, (2023).

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