Kavli Affiliate: Birgitta Whaley | First 5 Authors: Tyler Kharazi, Ahmad M. Alkadri, Jin-Peng Liu, Kranthi K. Mandadapu, K. Birgitta Whaley | Summary: Simulation of physical systems is one of the most promising use cases of future digital quantum computers. In this work we systematically analyze the quantum circuit complexities of block encoding the discretized […]
Kavli Affiliate: Birgitta Whaley | First 5 Authors: Tyler Kharazi, Ahmad M. Alkadri, Jin-Peng Liu, Kranthi K. Mandadapu, K. Birgitta Whaley | Summary: Simulation of physical systems is one of the most promising use cases of future digital quantum computers. In this work we systematically analyze the quantum circuit complexities of block encoding the discretized […]
Kavli Affiliate: Birgitta Whaley | First 5 Authors: Tyler Kharazi, Ahmad M. Alkadri, Jin-Peng Liu, Kranthi K. Mandadapu, K. Birgitta Whaley | Summary: Simulation of physical systems is one of the most promising use cases of future digital quantum computers. In this work we systematically analyze the quantum circuit complexities of block encoding the discretized […]
Kavli Affiliate: Birgitta Whaley | First 5 Authors: Tyler Kharazi, Ahmad M. Alkadri, Jin-Peng Liu, Kranthi K. Mandadapu, K. Birgitta Whaley | Summary: Simulation of physical systems is one of the most promising use cases of future digital quantum computers. In this work we systematically analyze the quantum circuit complexities of block encoding the discretized […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov | Summary: By training over large-scale datasets, zero-shot monocular depth estimation (MDE) methods show robust performance in the wild but often suffer from insufficiently precise details. Although recent diffusion-based MDE approaches exhibit appealing detail extraction ability, they […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov | Summary: By training over large-scale datasets, zero-shot monocular depth estimation (MDE) methods show robust performance in the wild but often suffer from insufficient detail. Although recent diffusion-based MDE approaches exhibit a superior ability to extract details, […]
Kavli Affiliate: Ting Xu | First 5 Authors: Haowei Yang, Yuxiang Hu, Shuyao He, Ting Xu, Jiajie Yuan | Summary: This study introduces an innovative application of Conditional Generative Adversarial Networks (C-GAN) integrated with Stacked Hourglass Networks (SHGN) aimed at enhancing image segmentation, particularly in the challenging environment of medical imaging. We address the problem […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang, | Summary: Self-supervised contrastive learning has become a key technique in deep learning, particularly in time series analysis, due to its ability to learn meaningful representations without explicit supervision. Augmentation is a critical component in contrastive learning, where different […]
Kavli Affiliate: Paul Alivisatos | First 5 Authors: Samuel P. Gleason, Jakob C. Dahl, Mahmoud Elzouka, Xingzhi Wang, Dana O. Byrne | Summary: The development of a colloidal synthesis procedure to produce nanomaterials of a specific size with high shape and size purity is often a time consuming, iterative process. This is often due to […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Rohit Rana, David T. Limmer, , , | Summary: We use path integral Monte Carlo to study the energetics of excitons in layered, hybrid organic-inorganic perovskites in order to elucidate the relative contributions of dielectric confinement and electron-phonon coupling. While the dielectric mismatch between polar perovskite […]