activity
20242026
most citedA 300 mm foundry silicon spin qubit unit cell exceeding 99% fidelity in all operations

46 citations · 55 across the 17 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cond-mat.mes-hall2024

Probing g-tensor reproducibility and spin-orbit effects in planar silicon hole quantum dots

Ik Kyeong Jin, Joseph Hillier, Scott D. Liles +9

In this work, we probe the sensitivity of hole-spin properties to hole occupation number in a planar silicon double-quantum dot device fabricated on a 300 mm integrated platform. U…

cond-mat.mes-hall2024

Statistical Analysis of Spurious Dot Formation in SiMOS Single Electron Transistors

Kuan-Chu Chen, Clement Godfrin, George Simion +8

The spatial distribution of spurious dots in SiMOS single-electron transistors (SETs), fabricated on an industrial 300 mm process line, has been statistically analyzed. To have a d…

cond-mat.mes-hall2024★ 46 cited

A 300 mm foundry silicon spin qubit unit cell exceeding 99% fidelity in all operations

Paul Steinacker, Nard Dumoulin Stuyck, Wee Han Lim +24

Fabrication of quantum processors in advanced 300 mm wafer-scale complementary metal-oxide-semiconductor (CMOS) foundries provides a unique scaling pathway towards commercially via…

cond-mat.mes-hall2024

Industrial 300mm wafer processed spin qubits in natural silicon/silicon-germanium

Thomas Koch, Clement Godfrin, Viktor Adam +11

The realisation of an universal quantum computer will require the operation of thousands to millions of qubits. The possibility of using existing industrial semiconductor fabricati…

cond-mat.mes-hall2024★ 4 cited

Experimental online quantum dots charge autotuning using neural networks

Victor Yon, Bastien Galaup, Claude Rohrbacher +11

Spin-based semiconductor qubits hold promise for scalable quantum computing, yet they require reliable autonomous calibration procedures. This study presents an experimental demons…

quant-ph2024★ 3 cited

Robust quantum dots charge autotuning using neural network uncertainty

Victor Yon, Bastien Galaup, Claude Rohrbacher +10

This study presents a machine-learning-based procedure to automate the charge tuning of semiconductor spin qubits with minimal human intervention, addressing one of the significant…