Reduction of the impact of the local valley splitting on the coherence of conveyor-belt spin shuttling in $^28$Si/SiGe

Posted by klaurent Delft, This Week: Nanoscience

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Mats Volmer, Mats Volmer, , , | Summary: Silicon quantum chips offer a promising path toward scalable, fault-tolerant quantum computing, with the potential to host millions of qubits. However, scaling up dense quantum-dot arrays and enabling qubit interconnections through shuttling are hindered by uncontrolled lateral variations of […]


Continue.. Reduction of the impact of the local valley splitting on the coherence of conveyor-belt spin shuttling in $^28$Si/SiGe

Using Landau quantization to probe disorder in semiconductor heterostructures

Posted by klaurent Delft, This Week: Nanoscience

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Asser Elsayed, Asser Elsayed, , , | Summary: Understanding scattering mechanisms in semiconductor heterostructures is crucial to reducing sources of disorder and ensuring high yield and uniformity in large spin qubit arrays. Disorder of the parent two-dimensional electron or hole gas is commonly estimated by the critical, […]


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Active-Learning Inspired Ab Initio Theory-Experiment Loop Approach for Management of Material Defects: Application to Superconducting Qubits

Posted by klaurent Cornell, This Week: Nanoscience

Kavli Affiliate: David Muller | First 5 Authors: Sarvesh Chaudhari, Sarvesh Chaudhari, , , | Summary: Surface oxides are associated with two-level systems (TLSs) that degrade the performance of niobium-based superconducting quantum computing devices. To address this, we introduce a predictive framework for selecting metal capping layers that inhibit niobium oxide formation. Using DFT-calculated oxygen […]


Continue.. Active-Learning Inspired Ab Initio Theory-Experiment Loop Approach for Management of Material Defects: Application to Superconducting Qubits

TES Bolometer Design and Testing for the Tomographic Ionized-carbon Mapping Experiment Millimeter Array

Posted by klaurent Caltech, This Week: Nanoscience

Kavli Affiliate: James J. Bock | First 5 Authors: Victoria L. Butler, Victoria L. Butler, , , | Summary: Transition Edge Sensor (TES) bolometers are a well-established technology with a strong track record in experimental cosmology, making them ideal for current and future radio astronomy instruments. The Tomographic Ionized-carbon Mapping Experiment (TIME), in collaboration with […]


Continue.. TES Bolometer Design and Testing for the Tomographic Ionized-carbon Mapping Experiment Millimeter Array

TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis

Posted by klaurent Berkeley, This Week: Nanoscience

Kavli Affiliate: Xiang Zhang | First 5 Authors: Haokun Zhao, Haokun Zhao, , , | Summary: Time series forecasting is central to decision-making in domains as diverse as energy, finance, climate, and public health. In practice, forecasters face thousands of short, noisy series that vary in frequency, quality, and horizon, where the dominant cost lies […]


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Using Aberrations to Improve Dose-Efficient Tilt-corrected 4D-STEM Imaging

Posted by klaurent Cornell, This Week: Nanoscience

Kavli Affiliate: David A. Muller | First 5 Authors: Desheng Ma, Desheng Ma, , , | Summary: Tilt-corrected imaging methods in four-dimensional scanning transmission electron microscopy (4D-STEM) have recently emerged as a new class of direct ptychography methods that are especially useful at low dose. The operation of tilt correction unfolds the contrast transfer functions […]


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Simulating Spectral Confusion in SPHEREx Photometry and Redshifts

Posted by klaurent Caltech, This Week: Nanoscience

Kavli Affiliate: James J. Bock | First 5 Authors: Zhaoyu Huai, Zhaoyu Huai, , , | Summary: We model the impact of source confusion on photometry and the resulting spectrophotometric redshifts for SPHEREx, a NASA Medium-Class Explorer that is carrying out an all-sky near-infrared spectral survey. Spectral confusion from untargeted background galaxies degrades sensitivity and […]


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Why is topology hard to learn?

Posted by klaurent Delft, This Week: Nanoscience

Kavli Affiliate: Eliska Greplova | First 5 Authors: D. O. Oriekhov, D. O. Oriekhov, , , | Summary: Much attention has been devoted to the use of machine learning to approximate physical concepts. Yet, due to challenges in interpretability of machine learning techniques, the question of what physics machine learning models are able to learn […]


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Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel

Posted by klaurent Berkeley, This Week: Nanoscience

Kavli Affiliate: Ting Xu | First 5 Authors: Chuanyang Zheng, Chuanyang Zheng, , , | Summary: Mixture-of-Experts (MoE) has become a cornerstone in recent state-of-the-art large language models (LLMs). Traditionally, MoE relies on $mathrmSoftmax$ as the router score function to aggregate expert output, a designed choice that has persisted from the earliest MoE models to […]


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Translation from Wearable PPG to 12-Lead ECG

Posted by klaurent Caltech, This Week: Nanoscience

Kavli Affiliate: Wei Gao | First 5 Authors: Hui Ji, Hui Ji, , , | Summary: The 12-lead electrocardiogram (ECG) is the gold standard for cardiovascular monitoring, offering superior diagnostic granularity and specificity compared to photoplethysmography (PPG). However, existing 12-lead ECG systems rely on cumbersome multi-electrode setups, limiting sustained monitoring in ambulatory settings, while current […]


Continue.. Translation from Wearable PPG to 12-Lead ECG