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19922026
most citedPractical Bayesian Optimization of Machine Learning Algorithms

5.7k citations

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cond-mat.mes-hall2025★ 1 cited

Light-induced pseudo-magnetic fields in three-dimensional topological semimetals

Arpit Raj, Swati Chaudhary, Martin Rodriguez-Vega +3

In this work, we show that suitably designed spatially varying linearly polarized light provides a versatile route to generate and control pseudo-magnetic fields in Weyl semimetals…

cond-mat.mes-hall2025

Amplification and Detection of Single Itinerant Microwave Photons

Lukas Danner, Max Hofheinz, Nicolas Bourlet +3

Single-photon detectors are an essential part of the toolbox of modern quantum optics for implementing quantum technologies and enabling tests of fundamental physics. The low energ…

cond-mat.mes-hall2025

Superconducting meander-line surface coil for NMR spectroscopy of nanoscale thin films

Louis Beaudoin, Aimé Verrier, Youcef A. Bioud +3

Nuclear magnetic resonance (NMR) spectroscopy is a powerful technique to study local magnetism in a variety of materials. However, the inherently low sensitivity of conventional in…

cond-mat.mes-hall2025★ 1 cited

Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements

Marc-Antoine Roux, Joffrey Rivard, Victor Yon +18

Spin qubits need to operate within a very precise voltage space around charge state transitions to achieve high-fidelity gates. However, the stability diagrams that allow the ident…

cond-mat.mes-hall2025

Absence of skewness in the voltage fluctuations of a tunnel junction in the quantum regime

Clovis Farley, Bertrand Reulet

Current fluctuations in a tunnel junction have a remarkable property: On the one hand, their variance corresponds to vacuum fluctuations at low voltage bias , when the electron…

cond-mat.mes-hall2025★ 1 cited

Link between Continuous and Discrete Descriptions of Noise in Nonlinear Resistive Electrical Components

Lucas Désoppi, Bertrand Reulet

We consider the modeling of noise in a nonlinear, classical, resistive electrical component using two models: i) a continuous description based on a stochastic differential equatio…