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Realizing Lattice Surgery on Two Distance-Three Repetition Codes with Superconducting Qubits, Part 1: Logical Bell State Preparation

ORAL

Abstract

Quantum error correction provides a pathway toward quantum computers capable of fault-tolerantly executing algorithms involving millions of qubits. A recent experiment with superconducting qubits has demonstrated sub-threshold distance-scaling of error rates for a single logical qubit [1]. However, the realization of universal quantum computation requires logical entangling gates, for which lattice surgery offers a practical approach. In this work, we encode a logical qubit in a distance-three surface code of superconducting qubits and employ a lattice surgery split operation to prepare an entangled state of two distance-three repetition codes. By stabilizing the surface code qubit and performing mid-cycle data qubit readout followed by Pauli frame updates, we herald one of the four logical Bell states. Using a quantum circuit fault-tolerant to bit-flip errors, we achieve an improvement in the value of the decoded ZZ logical two-qubit observable compared to a similar non-encoded circuit, demonstrating the effectiveness of our error-correction scheme, focusing on bit-flip errors.

[1] Google Quantum AI, arXiv:2408.13687 (2024)

Presenters

  • Michael Kerschbaum

    ETH Zurich, ETH Zurich, Paul Scherrer Institute

Authors

  • Michael Kerschbaum

    ETH Zurich, ETH Zurich, Paul Scherrer Institute

  • Ilya Besedin

    ETH Zurich, Paul Scherrer Institute

  • Jonathan Knoll

    ETH Zurich

  • Ian Hesner

    ETH Zurich, ETH Zurich, Paul Scherrer Institute

  • Lukas Bödeker

    Forschungszentrum Jülich GmbH, RWTH Aachen

  • Luis Colmenarez

    Forschungszentrum Jülich GmbH, RWTH Aachen

  • Luca Hofele

    ETH Zurich

  • Nathan Lacroix

    Google LLC, ETH Zurich, ETH Zurich

  • Christoph Hellings

    ETH Zurich

  • François Swiadek

    ETH Zurich

  • Alexander Flasby

    ETH Zurich, ETH Zurich, Paul Scherrer Institute, ETH Zürich

  • Mohsen Bahrami Panah

    ETH Zurich, Paul Scherrer Institute

  • Dante Colao Zanuz

    ETH Zurich

  • Markus Müller

    Forschungszentrum Jülich GmbH, Forschungszentrum Jülich GmbH, RWTH Aachen

  • Andreas Wallraff

    ETH Zurich, ETH Zurich, Paul Scherrer Institute