Noise-Canceling Quantum Feedback: non-Hermitian Dynamics with Applications to State Preparation and Magic State Distillation

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Tathagata Karmakar, Tathagata Karmakar, , , | Summary: Time-continuous quantum measurement allows for the tracking of a quantum system in real time via sequences of short, and individually weak, measurement intervals. Such measurements are necessarily invasive, imparting backaction to the system, and allowing the observer to update […]


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MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew C. Kuner, Matthew C. Kuner, , , | Summary: We present MP-ALOE, a dataset of nearly 1 million DFT calculations using the accurate r2SCAN meta-generalized gradient approximation. Covering 89 elements, MP-ALOE was created using active learning and primarily consists of off-equilibrium structures. We benchmark a […]


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Compressed Ultrafast Photography of Plasmas Formed from Laser Breakdown of Dense Gases Reveals that Internal Processes Dominate Evolution at Early Times

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Peng Wang, Peng Wang, , , | Summary: Compressed ultrafast photography (CUP) is applied to laser breakdown in argon and xenon under pressures up to 40atm to obtain 2D images of the plasma dynamics of single events with a spatial resolution of 250×100 pixels and an […]


Continue.. Compressed Ultrafast Photography of Plasmas Formed from Laser Breakdown of Dense Gases Reveals that Internal Processes Dominate Evolution at Early Times

Optimising germanium hole spin qubits with a room-temperature magnet

Kavli Affiliate: Menno Veldhorst | First 5 Authors: Cecile X. Yu, Cecile X. Yu, , , | Summary: Germanium spin qubits exhibit strong spin-orbit interaction, which allow for high-fidelity qubit control, but also provide a strong dependence on the magnetic field. Superconducting vector magnets are often used to minimize dephasing due to hyperfine interactions and […]


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Evidence of topological Kondo insulating state in MoTe2/WSe2 moiré bilayers

Kavli Affiliate: Jie Shan | First 5 Authors: Zhongdong Han, Zhongdong Han, , , | Summary: Topological Kondo insulators (TKIs) are topologically protected insulating states induced not by single-particle band inversions, but by the Kondo interaction between itinerant electrons and a lattice of local magnetic moments. Although experiments have suggested the emergence of three-dimensional (3D) […]


Continue.. Evidence of topological Kondo insulating state in MoTe2/WSe2 moiré bilayers

Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Ting Xu, , , | Summary: This paper addresses the challenges posed by the unstructured nature and high-dimensional semantic complexity of electronic health record texts. A deep learning method based on attention mechanisms is proposed to achieve unified modeling for information extraction and multi-label disease […]


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Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data

Kavli Affiliate: Wei Gao | First 5 Authors: Chen Gong, Bo Liang, Wei Gao, Chenren Xu, | Summary: Generative models have gained significant attention for their ability to produce realistic synthetic data that supplements the quantity of real-world datasets. While recent studies show performance improvements in wireless sensing tasks by incorporating all synthetic data into […]


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Unconventional superlattice ordering in intercalated transition metal dichalcogenide V$_1/3$NbS$_2$

Kavli Affiliate: David A. Muller | First 5 Authors: Shannon S. Fender, Shannon S. Fender, , , | Summary: The interplay between symmetry and topology in magnetic materials makes it possible to engineer exotic phases and technologically useful properties. A key requirement for these pursuits is achieving control over local crystallographic and magnetic structure, usually […]


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High-quality metalens enables minimally invasive CFB endoscopy

Kavli Affiliate: Feng Wang | First 5 Authors: Ruixiang Song, Ruixiang Song, , , | Summary: Metalenses, owing to their ultra-thin planar structures, present a promising solution for reducing endoscopic invasiveness. However, achieving high-quality imaging with minimal invasiveness (short focal length of metalens) remains a critical challenge. This paper presents a deep learning assisted metalens […]


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Modulating task outcome value to mitigate real-world procrastination via noninvasive brain stimulation

Kavli Affiliate: Ting Xu | First 5 Authors: Zhiyi Chen, Zhiyi Chen, , , | Summary: Procrastination represents one of the most prevalent behavioral problems affecting individual health and societal productivity. Although it is often conceptualized as a form of self-control failure, its underlying neurocognitive mechanisms are poorly understood. A leading model posits that procrastination […]


Continue.. Modulating task outcome value to mitigate real-world procrastination via noninvasive brain stimulation