Kitaev chain in an alternating quantum dot-Andreev bound state array

Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastian Miles, David van Driel, Michael Wimmer, Chun-Xiao Liu, | Summary: We propose to implement a Kitaev chain based on an array of alternating normal and superconductor hybrid quantum dots embedded in semiconductors. In particular, the orbitals in the dot and the Andreev bound states in the […]


Continue.. Kitaev chain in an alternating quantum dot-Andreev bound state array

Kitaev chain in an alternating quantum dot-Andreev bound state array

Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastian Miles, David van Driel, Michael Wimmer, Chun-Xiao Liu, | Summary: We propose to implement a Kitaev chain based on an array of alternating normal and superconductor hybrid quantum dots embedded in semiconductors. In particular, the orbitals in the dot and the Andreev bound states in the […]


Continue.. Kitaev chain in an alternating quantum dot-Andreev bound state array

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: The application of Unbiased Learning to Rank (ULTR) is widespread in modern systems for training unbiased ranking models from biased click logs. The key is to explicitly model a generation process for user behavior and […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Galaxy mergers in Subaru HSC-SSP: a deep representation learning approach for identification and the role of environment on merger incidence

Kavli Affiliate: John D. Silverman | First 5 Authors: Kiyoaki Christopher Omori, Connor Bottrell, Mike Walmsley, Hassen M. Yesuf, Andy D. Goulding | Summary: We take a deep learning-based approach for galaxy merger identification in Subaru HSC-SSP, specifically through the use of deep representation learning and fine-tuning, with the aim of creating a pure and […]


Continue.. Galaxy mergers in Subaru HSC-SSP: a deep representation learning approach for identification and the role of environment on merger incidence

From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

Kavli Affiliate: Cheng Peng | First 5 Authors: Yong Zhong, Cheng Peng, Haili Huang, Dandan Guan, Jinwoong Hwang | Summary: The field of two-dimensional (2D) ferromagnetism has been proliferating over the past few years, with ongoing interests in basic science and potential applications in spintronic technology. However, a high-resolution spectroscopic study of the 2D ferromagnet […]


Continue.. From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

Perfect Coulomb drag and exciton transport in an excitonic insulator

Kavli Affiliate: Feng Wang | First 5 Authors: Ruishi Qi, Andrew Y. Joe, Zuocheng Zhang, Jingxu Xie, Qixin Feng | Summary: Strongly coupled two-dimensional electron-hole bilayers can give rise to novel quantum Bosonic states: electrons and holes in electrically isolated layers can pair into interlayer excitons, which can form a Bose-Einstein condensate below a critical […]


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Representing low mass black hole seeds in cosmological simulations: A new sub-grid stochastic seed model

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Aklant K Bhowmick, Laura Blecha, Paul Torrey, Rainer Weinberger, Luke Zoltan Kelley | Summary: The nature of the first seeds of supermassive black holes (SMBHs) is currently unknown, with postulated initial masses ranging from $sim10^5~M_{odot}$ to as low as $sim10^2~M_{odot}$. However, most existing cosmological simulations resolve BHs […]


Continue.. Representing low mass black hole seeds in cosmological simulations: A new sub-grid stochastic seed model