Evidence map›Paper›PMID 42459199›Full record

ArticleNature sensors2026

High-fidelity dispersive spin sensing in a tunable unit cell of silicon MOS quantum dots.

Constance Lainé, Giovanni A Oakes, Virginia Ciriano-Tejel, Jacob F Chittock-Wood, Lorenzo Peri, Michael A Fogarty, Sofia M Patomäki, Stefan Kubicek, David F Wise, Ross C C Leon and 2 more

Abstract read
In one paragraph

Article in Nature sensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

12 authors.

Constance LainéQuantum Motion, London, United Kingdom.ORCID 0009-0007-0776-4133
Giovanni A OakesQuantum Motion, London, United Kingdom.ORCID 0000-0002-2408-7409
Virginia Ciriano-TejelQuantum Motion, London, United Kingdom.ORCID 0000-0001-5185-4821
Jacob F Chittock-WoodQuantum Motion, London, United Kingdom.ORCID 0000-0002-4942-6972
Lorenzo PeriQuantum Motion, London, United Kingdom.
Michael A FogartyQuantum Motion, London, United Kingdom.
Sofia M PatomäkiQuantum Motion, London, United Kingdom.
Stefan KubicekIMEC, Leuven, Belgium.
David F WiseQuantum Motion, London, United Kingdom.
Ross C C LeonQuantum Motion, London, United Kingdom.
M Fernando Gonzalez-ZalbaQuantum Motion, London, United Kingdom.
John J L MortonQuantum Motion, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-oxide-semiconductor (MOS) technology offers a promising route to scalable quantum computing based on spin qubits, but large-scale architectures require compact and sensitive sensors that preserve qubit connectivity and remain compatible with industrial fabrication. Here we demonstrate a dispersive spin-qubit sensor, a single-electron box (SEB), integrated within a bilinear unit cell of planar MOS quantum dots fabricated using an industrial 300-mm wafer process. Independent gate control of the SEB and double-quantum-dot tunnel rates enables optimization of the sensor, achieving state-of-the-art dispersive readout fidelities of 99.92% in 340 μs and 99% in 20 μs. We also develop a hidden Markov model of the two-electron spin dynamics, allowing a more accurate determination of the measurement outcome and corresponding fidelity. Our results show that the compactness and versatility of SEB-based charge sensing can be realized without compromising sensitivity, providing a scalable pathway for future MOS spin-qubit architectures.

Indexed as

Characterization and analytical techniquesNanosensorsQuantum dotsQubits

Identifiers

PMID42459199
PMCPMC13368588

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.