Surpassing millisecond coherence in on chip superconducting quantum memories by optimizing materials and circuit design

Suhas Ganjam (), Yanhao Wang, Yao Lu, Archan Banerjee, Chan U Lei, Lev Krayzman, Kim Kisslinger, Chenyu Zhou, Ruoshui Li, Yichen Jia, Mingzhao Liu, Luigi Frunzio and Robert J. Schoelkopf ()
Additional contact information
Suhas Ganjam: Yale University
Yanhao Wang: Yale University
Yao Lu: Yale University
Archan Banerjee: Yale University
Chan U Lei: Yale University
Lev Krayzman: Yale University
Kim Kisslinger: Brookhaven National Laboratory
Chenyu Zhou: Brookhaven National Laboratory
Ruoshui Li: Brookhaven National Laboratory
Yichen Jia: Brookhaven National Laboratory
Mingzhao Liu: Brookhaven National Laboratory
Luigi Frunzio: Yale University
Robert J. Schoelkopf: Yale University

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract The performance of superconducting quantum circuits for quantum computing has advanced tremendously in recent decades; however, a comprehensive understanding of relaxation mechanisms does not yet exist. In this work, we utilize a multimode approach to characterizing energy losses in superconducting quantum circuits, with the goals of predicting device performance and improving coherence through materials, process, and circuit design optimization. Using this approach, we measure significant reductions in surface and bulk dielectric losses by employing a tantalum-based materials platform and annealed sapphire substrates. With this knowledge we predict the relaxation times of aluminum- and tantalum-based transmon qubits, and find that they are consistent with experimental results. We additionally optimize device geometry to maximize coherence within a coaxial tunnel architecture, and realize on-chip quantum memories with single-photon Ramsey times of 2.0 − 2.7 ms, limited by their energy relaxation times of 1.0 − 1.4 ms. These results demonstrate an advancement towards a more modular and compact coaxial circuit architecture for bosonic qubits with reproducibly high coherence.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-47857-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47857-6

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-47857-6

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().