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Initial experimental results on a superconducting-qubit reset based on photon-assisted quasiparticle tunneling

  • V. A. Sevriuk*
  • , W. Liu
  • , J. Rönkkö
  • , H. Hsu
  • , F. Marxer
  • , T. F. Mörstedt
  • , Meeri Partanen
  • , J. Räbinä
  • , M. Venkatesh
  • , J. Hotari
  • , Leif Grönberg
  • , J. Heinsoo
  • , T. Li
  • , J. Tuorila
  • , K. W. Chan
  • , Juha Hassel
  • , K. Y. Tan
  • , M. Möttönen
  • *Corresponding author for this work
  • IQM Finland Oy
  • IQM Germany GmbH
  • Aalto University
  • VTT (former employee or external)

Research output: Contribution to journalArticleScientificpeer-review

Abstract

We present here our recent results on qubit reset scheme based on a quantum-circuit refrigerator (QCR). In particular, we use the photon-assisted quasiparticle tunneling through a superconductor-insulator-normal-metal-insulator-superconductor junction to controllably decrease the energy relaxation time of the qubit during the QCR operation. In our experiment, we use a transmon qubit with dispersive readout. The QCR is capacitively coupled to the qubit through its normal-metal island. We employ rapid, square-shaped QCR control voltage pulses with durations in the range of 2-350 ns and a variety of amplitudes to optimize the reset time and fidelity. Consequently, we reach a qubit ground-state probability of roughly 97% with 80-ns pulses starting from the first excited state. The qubit state probability is extracted from averaged readout signal, where the calibration is based on Rabi oscillations, thus not distinguishing the residual thermal population of the qubit.

Original languageEnglish
Article number234002
JournalApplied Physics Letters
Volume121
Issue number23
DOIs
Publication statusPublished - 5 Dec 2022
MoE publication typeA1 Journal article-refereed

Funding

We have received funding from the European Research Council under Grant Nos. 681311 (QUESS), 957440 (SCAR), and 101053801 (ConceptQ), European Commission through H2020 program projects QMiCS (grant agreement 820505, Quantum Flagship), Business Finland (Quantum Technologies Industrial Grant No. 41419/31/2020), the Academy of Finland through its Centers of Excellence Program (Project Nos. 312300 and 336810), and the Research Impact Foundation.

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