Reducing the error rate of a superconducting logical qubit using analog readout information

Hany Ali, Jorge Marques, Ophelia Crawford, Joonas Majaniemi, Marc Serra-Peralta, David Byfield, Boris Varbanov, Barbara M. Terhal, Leonardo Dicarlo, Earl T. Campbell*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Quantum error correction enables the preservation of logical qubits with a lower logical error rate than the physical error rate, with performance depending on the decoding method. Traditional decoding approaches rely on the binarization ("hardening") of readout data, thereby ignoring valuable information embedded in the analog ("soft") readout signal. We present experimental results showcasing the advantages of incorporating soft information into the decoding process of a distance-3 (d=3) bit-flip surface code with flux-tunable transmons.
Original languageEnglish
Article number044031
Number of pages19
JournalPhysical Review Applied
Volume22
Issue number4
DOIs
Publication statusPublished - 2024

Keywords

  • artificial neural networks
  • optoelectronics
  • quantum circuits
  • quantum error correction
  • quantum information with solid state qubits
  • surface code quantum computing
  • superconducting qubits
  • microwave techniques

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