Telecom-band quantum interference of frequency-converted photons from remote detuned NV centers

Posted by klaurent Delft

Kavli Affiliate: Ronald Hanson | First 5 Authors: Arian Stolk, Kian L. van der Enden, Marie-Christine Roehsner, Annick Teepe, Stein O. J. Faes | Summary: Entanglement distribution over quantum networks has the promise of realizing fundamentally new technologies. Entanglement between separated quantum processing nodes has been achieved on several experimental platforms in the past decade. […]


Continue.. Telecom-band quantum interference of frequency-converted photons from remote detuned NV centers

Prospects for the detection of the Diffuse Supernova Neutrino Background with the experiments SK-Gd and JUNO

Posted by klaurent Tokyo

Kavli Affiliate: Mark Vagins | Summary:The advent of gadolinium-loaded Super-Kamiokande (SK-Gd) and of the soon-to-start JUNO liquid scintillator detector marks a substantial improvement in the global sensitivity for the Diffuse Supernova Neutrino Background (DSNB). The present article reviews the detector properties most relevant for the DSNB searches in both experiments and estimates the expected signal […]


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Fast rule switching and slow rule updating in a perceptual categorization task

Posted by klaurent UCSD / Salk

Kavli Affiliate: Marcelo Mattar | Authors: Flora Bouchacourt, Sina Tafazoli, Marcelo Gomes Mattar, Timothy J Buschman and Nathaniel Douglass Daw | Summary: Abstract To adapt to a changing world, we must be able to switch between rules already learned and, at other times, learn rules anew. Often we must do both at the same time, […]


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TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha | Summary: Transformer, benefiting from global (long-range) information modeling using self-attention mechanism, has been successful in natural language processing and computer vision recently. Convolutional Neural Networks, capable of capturing local features, are difficult to model explicit long-distance […]


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E/B mode decomposition of HSC-Y1 cosmic shear using COSEBIs: cosmological constraints and comparison with other two-point statistics

Posted by klaurent Tokyo

Kavli Affiliate: Chiaki Hikage | Summary:We perform a cosmic shear analysis of HSC survey first-year data (HSC-Y1) using Complete Orthogonal Sets of E/B-Integrals (COSEBIs) to derive cosmological constraints. We compute E/B-mode COSEBIs from cosmic shear two-point correlation functions measured on an angular range of $4arcmin<θ<180arcmin$. We perform the standard Bayesian likelihood analysis for cosmological inference […]


Continue.. E/B mode decomposition of HSC-Y1 cosmic shear using COSEBIs: cosmological constraints and comparison with other two-point statistics

Validation of 13 Hot and Potentially Terrestrial TESS Planets

Posted by klaurent MIT

Kavli Affiliate: George R. Ricker | First 5 Authors: Steven Giacalone, Courtney D. Dressing, Christina Hedges, Veselin B. Kostov, Karen A. Collins | Summary: The James Webb Space Telescope (JWST) will be able to probe the atmospheres and surface properties of hot, terrestrial planets via emission spectroscopy. We identify 18 potentially terrestrial planet candidates detected […]


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Dielectric catastrophe at the Mott and Wigner transitions in a moiré superlattice

Posted by klaurent Cornell

Kavli Affiliate: Jie Shan | First 5 Authors: Yanhao Tang, Jie Gu, Song Liu, Kenji Watanabe, Takashi Taniguchi | Summary: The metal-insulator transition (MIT) driven by electronic correlations is a fundamental and challenging problem in condensed-matter physics. Particularly, whether such a transition can be continuous remains open. The emergence of semiconducting moir’e materials with continuously […]


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AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models

Posted by Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang | Summary: Knowledge distillation (KD) methods compress large models into smaller students with manually-designed student architectures given pre-specified computational cost. This requires several trials to find a viable student, and further repeating the process for each student […]


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Modular representation and control of floppy networks

Posted by klaurent Harvard

Kavli Affiliate: L. Mahadevan | First 5 Authors: Siheng Chen, Fabio Giardina, Gary P. T. Choi, L. Mahadevan, | Summary: Geometric graph models of systems as diverse as proteins, robots, and mechanical structures from DNA assemblies to architected materials point towards a unified way to represent and control them in space and time. While much […]


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