Random Quantum Circuits

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Matthew P. A. Fisher, Vedika Khemani, Adam Nahum, Sagar Vijay, | Summary: Quantum circuits — built from local unitary gates and local measurements — are a new playground for quantum many-body physics and a tractable setting to explore universal collective phenomena far-from-equilibrium. These models have […]


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Content-oriented learned image compression

Kavli Affiliate: Jing Wang | First 5 Authors: Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang | Summary: In recent years, with the development of deep neural networks, end-to-end optimized image compression has made significant progress and exceeded the classic methods in terms of rate-distortion performance. However, most learning-based image compression methods are […]


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Characterization of the John A. Galt telescope for radio holography with CHIME

Kavli Affiliate: Kiyoshi Masui | First 5 Authors: Alex Reda, Tristan Pinsonneault-Marotte, Meiling Deng, Mandana Amiri, Kevin Bandura | Summary: The Canadian Hydrogen Intensity Mapping Experiment (CHIME) will measure the 21 cm emission of astrophysical neutral hydrogen to probe large scale structure at redshifts z=0.8-2.5. However, detecting the 21 cm signal beneath substantially brighter foregrounds […]


Continue.. Characterization of the John A. Galt telescope for radio holography with CHIME

Characterization of the John A. Galt telescope for radio holography with CHIME

Kavli Affiliate: Kiyoshi Masui | First 5 Authors: Alex Reda, Tristan Pinsonneault-Marotte, Meiling Deng, Mandana Amiri, Kevin Bandura | Summary: The Canadian Hydrogen Intensity Mapping Experiment (CHIME) will measure the 21 cm emission of astrophysical neutral hydrogen to probe large scale structure at redshifts z=0.8-2.5. However, detecting the 21 cm signal beneath substantially brighter foregrounds […]


Continue.. Characterization of the John A. Galt telescope for radio holography with CHIME

A Repulsive Force Unit for Garment Collision Handling in Neural Networks

Kavli Affiliate: Yi Zhou | First 5 Authors: Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun | Summary: Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body. To address this problem, we propose a novel collision handling neural […]


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