ExplorerQuantum ComputingQuantum Physics
Research PaperResearchia:202607.21078

Foundry CMOS platform for multimodal quantum materials characterization

Sharad Kumar Yadav

Abstract

Quantum materials experiments increasingly rely on microwave, electrical, thermal, optical, and structural probes, but these capabilities are typically assembled from custom hardware that limits reproducibility and scalability. Here we show that a commercial 65-nm CMOS process can be repurposed as a passive, foundry-manufacturable characterization platform by functionally partitioning its metal stack into microwave, thermal, and electrical subsystems within a 1 mm2 footprint. The integrated RF a...

Submitted: July 21, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Quantum materials experiments increasingly rely on microwave, electrical, thermal, optical, and structural probes, but these capabilities are typically assembled from custom hardware that limits reproducibility and scalability. Here we show that a commercial 65-nm CMOS process can be repurposed as a passive, foundry-manufacturable characterization platform by functionally partitioning its metal stack into microwave, thermal, and electrical subsystems within a 1 mm2 footprint. The integrated RF architecture enables cryogenic magnetic susceptibility measurements of Fe3GeTe2 heterostructures at 1.75 K without sample-specific fabrication. We further demonstrate NV-center optically detected magnetic resonance (ODMR) with >20% contrast at 4-9 dBm microwave power, reducing power requirements by 20-25 dB relative to conventional antenna-based approaches while maintaining sensitivities of 2-3 uT/sqrt(Hz). We additionally confirm compatibility with in-situ electron-beam imaging, showing no measurable degradation in image quality upon device operation. These results establish a scalable, foundry-manufacturable platform for multimodal quantum sensing and materials characterization.


Source: arXiv:2607.18059v1 - http://arxiv.org/abs/2607.18059v1 PDF: https://arxiv.org/pdf/2607.18059v1 Original Link: http://arxiv.org/abs/2607.18059v1

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Submission Info
Date:
Jul 21, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
Comments:
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