Protocol for scaling up a sign-ordered Kitaev chain without magnetic flux control

Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, Sebastian Miles, Alberto Bordin, Sebastiaan L. D. ten Haaf, A. Mert Bozkurt | Summary: Quantum dot-superconductor arrays have emerged as a new and promising material platform for realizing Kitaev chains with Majorana zero modes. So far, experiments have implemented a two-site chain with limited protection. […]


Continue.. Protocol for scaling up a sign-ordered Kitaev chain without magnetic flux control

Cosmological constraints from the cross-correlation of DESI Luminous Red Galaxies with CMB lensing from Planck PR4 and ACT DR6

Kavli Affiliate: Blake Sherwin | First 5 Authors: Noah Sailer, Joshua Kim, Simone Ferraro, Mathew S. Madhavacheril, Martin White | Summary: We infer the growth of large scale structure over the redshift range $0.4lesssim z lesssim 1$ from the cross-correlation of spectroscopically calibrated Luminous Red Galaxies (LRGs) selected from the Dark Energy Spectroscopic Instrument (DESI) […]


Continue.. Cosmological constraints from the cross-correlation of DESI Luminous Red Galaxies with CMB lensing from Planck PR4 and ACT DR6

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Exploration of Class Center for Fine-Grained Visual Classification

Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]


Continue.. Exploration of Class Center for Fine-Grained Visual Classification

Surviving in the Hot Neptune Desert: The Discovery of the Ultra-Hot Neptune TOI-3261b

Kavli Affiliate: Roland Vanderspek | First 5 Authors: Emma Nabbie, Chelsea X. Huang, Jennifer A. Burt, David J. Armstrong, Eric E. Mamajek | Summary: The recent discoveries of Neptune-sized ultra-short period planets (USPs) challenge existing planet formation theories. It is unclear whether these residents of the Hot Neptune Desert have similar origins to smaller, rocky […]


Continue.. Surviving in the Hot Neptune Desert: The Discovery of the Ultra-Hot Neptune TOI-3261b