Family of New Binary Transition Metal Nitrides Superconductors

Kavli Affiliate: Bo Gu | First 5 Authors: Zheng-Wei Liao, Xin-Wei Yi, Jing-Yang You, Bo Gu, Gang Su | Summary: Superconductivity in transition metal nitrides (TMNs) has been investigated for a long time, such as zirconium nitride (ZrN) with a superconducting transition temperature Tc of 10 K. Recently, a phase diagram has been revealed in […]


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Family of binary transition metal pnictide superconductors

Kavli Affiliate: Bo Gu | First 5 Authors: Zheng-Wei Liao, Xin-Wei Yi, Jing-Yang You, Bo Gu, Gang Su | Summary: Superconductivity in transition metal nitrides (TMNs) has been investigated for a long time, such as zirconium nitride (ZrN) with a superconducting transition temperature Tc of 10 K. Recently, a phase diagram has been revealed in […]


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Duality theory for Clifford tensor powers

Kavli Affiliate: David Gross | First 5 Authors: Felipe Montealegre-Mora, David Gross, , , | Summary: The representation theory of the Clifford group is playing an increasingly prominent role in quantum information theory, including in such diverse use cases as the construction of protocols for quantum system certification, quantum simulation, and quantum cryptography. In these […]


Continue.. Duality theory for Clifford tensor powers

Duality theory for Clifford tensor powers

Kavli Affiliate: David Gross | First 5 Authors: Felipe Montealegre-Mora, David Gross, , , | Summary: The representation theory of the Clifford group is playing an increasingly prominent role in quantum information theory, including in such diverse use cases as the construction of protocols for quantum system certification, quantum simulation, and quantum cryptography. In these […]


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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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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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3D Hydrodynamics of Pre-supernova Outbursts in Convective Red Supergiant Envelopes

Kavli Affiliate: Lars Bildsten | First 5 Authors: Benny T. -H. Tsang, Daniel Kasen, Lars Bildsten, , | Summary: Eruptive mass loss likely produces the energetic outbursts observed from some massive stars before they undergo core-collapse supernovae (CCSNe). The resulting dense circumstellar medium (CSM) may also cause the subsequent SNe to be observed as Type […]


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Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis

Kavli Affiliate: Zheng Zhu | First 5 Authors: Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou | Summary: Talking head synthesis is an emerging technology with wide applications in film dubbing, virtual avatars and online education. Recent NeRF-based methods generate more natural talking videos, as they better capture the 3D structural information of […]


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Spotting Temporally Precise, Fine-Grained Events in Video

Kavli Affiliate: Matthew Fisher | First 5 Authors: James Hong, Haotian Zhang, MichaĆ«l Gharbi, Matthew Fisher, Kayvon Fatahalian | Summary: We introduce the task of spotting temporally precise, fine-grained events in video (detecting the precise moment in time events occur). Precise spotting requires models to reason globally about the full-time scale of actions and locally […]


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Extracting Densest Sub-hypergraph with Convex Edge-weight Functions

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Shan Hu, Zimo Sheng, , | Summary: The densest subgraph problem (DSG) aiming at finding an induced subgraph such that the average edge-weights of the subgraph is maximized, is a well-studied problem. However, when the input graph is a hypergraph, the existing notion of DSG […]


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