Improving qubit coherence using closed-loop feedback

Antti Vepsäläinen (), Roni Winik, Amir H. Karamlou, Jochen Braumüller, Agustin Di Paolo, Youngkyu Sung, Bharath Kannan, Morten Kjaergaard, David K. Kim, Alexander J. Melville, Bethany M. Niedzielski, Jonilyn L. Yoder, Simon Gustavsson and William D. Oliver
Additional contact information
Antti Vepsäläinen: Massachusetts Institute of Technology
Roni Winik: Massachusetts Institute of Technology
Amir H. Karamlou: Massachusetts Institute of Technology
Jochen Braumüller: Massachusetts Institute of Technology
Agustin Di Paolo: Massachusetts Institute of Technology
Youngkyu Sung: Massachusetts Institute of Technology
Bharath Kannan: Massachusetts Institute of Technology
Morten Kjaergaard: Massachusetts Institute of Technology
David K. Kim: MIT Lincoln Laboratory
Alexander J. Melville: MIT Lincoln Laboratory
Bethany M. Niedzielski: MIT Lincoln Laboratory
Jonilyn L. Yoder: MIT Lincoln Laboratory
Simon Gustavsson: Massachusetts Institute of Technology
William D. Oliver: Massachusetts Institute of Technology

Nature Communications, 2022, vol. 13, issue 1, 1-7

Abstract: Abstract Superconducting qubits are a promising platform for building a larger-scale quantum processor capable of solving otherwise intractable problems. In order for the processor to reach practical viability, the gate errors need to be further suppressed and remain stable for extended periods of time. With recent advances in qubit control, both single- and two-qubit gate fidelities are now in many cases limited by the coherence times of the qubits. Here we experimentally employ closed-loop feedback to stabilize the frequency fluctuations of a superconducting transmon qubit, thereby increasing its coherence time by 26% and reducing the single-qubit error rate from (8.5 ± 2.1) × 10−4 to (5.9 ± 0.7) × 10−4. Importantly, the resulting high-fidelity operation remains effective even away from the qubit flux-noise insensitive point, significantly increasing the frequency bandwidth over which the qubit can be operated with high fidelity. This approach is helpful in large qubit grids, where frequency crowding and parasitic interactions between the qubits limit their performance.

Date: 2022
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DOI: 10.1038/s41467-022-29287-4

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