Evidence map›Paper›PMID 41615757›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Quantum benchmarking of high-fidelity noise-biased operations on a detuned Kerr-cat qubit.

Bingcheng Qing, Ahmed Hajr, Ke Wang, Gerwin Koolstra, Long B Nguyen, Jordan Hines, Irwin Huang, Bibek Bhandari, Larry Chen, Ziqi Kang and 12 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Quantum benchmarking of high-fidelity noise-biased operations on a detuned Kerr-cat qubit.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Bingcheng Qing *Quantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.ORCID 0000-0003-4522-7017
Ahmed Hajr *Quantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Ke WangQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Gerwin KoolstraQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.ORCID 0000-0002-6574-5789
Long B NguyenQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Jordan HinesQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.ORCID 0000-0001-5126-7256
Irwin HuangDepartment of Physics and Astronomy, University of Rochester, Rochester, NY 14627.
Bibek BhandariInstitute for Quantum Studies, Chapman University, Orange, CA 92866.
Larry ChenQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Ziqi KangQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Christian JüngerQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Noah GossQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Nikitha JainQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Hyunseong KimQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Kan-Heng LeeQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Akel HashimQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Nicholas E FrattiniDepartment of Applied Physics and Physics, Yale University, New Haven, CT 06520.
Zahra PedramraziQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Justin DresselInstitute for Quantum Studies, Chapman University, Orange, CA 92866.
Andrew N JordanDepartment of Physics and Astronomy, University of Rochester, Rochester, NY 14627.
David I SantiagoQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.
Irfan SiddiqiQuantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, CA 94720.

Funding

U.S. Army Research Office W911NF-22-1-0258
6 · The paper itself

Abstract

Ubiquitous noise sources in quantum systems remain a key obstacle to building quantum computers, necessitating the use of quantum error correction codes. Recently, error-correcting codes tailored for noise-biased systems have been shown to offer high fault-tolerance thresholds and reduced hardware overhead, positioning noise-biased qubits as promising candidates for building universal quantum computers. However, quantum operations on these platforms remain challenging, and their noise structures have not yet been rigorously benchmarked to the same extent as those of conventional quantum hardware. In this work, we develop a comprehensive quantum control toolbox for a scalable noise-biased qubit, detuned Kerr-cat qubit, including initialization, universal single-qubit gates, and quantum nondemolition readout. We systematically characterize the noise structure of these operations using gate set tomography and dihedral randomized benchmarking, achieving high local gate fidelities, with [Formula: see text] and [Formula: see text]. Notably, the noise bias of the detuned Kerr-cat qubit approaches 250 with a phase-flip time of [Formula: see text], which outperforms its resonant-Kerr-cat qubit counterparts as reported previously, representing a state-of-the-art performance benchmark for Kerr-cat qubits. Moreover, our results reveal a critical overestimation of operational noise bias inferred from bit-flip and phase-flip times alone, highlighting the necessity of a precise and direct benchmarking for noise-biased qubit operations. Our work thus establishes a framework for systematically characterizing and validating the performance of quantum operations in structured-noise architectures, which lays the groundwork for implementing efficient quantum error correction in next-generation architectures.

Indexed as

noise-biased qubitquantum benchmarkingquantum error correction

Identifiers

PMID41615757
PMCPMC12867708

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.