Modeling of decoherence and fidelity enhancement during transport of entangled qubits

Kavli Affiliate: Viatcheslav V. Dobrovitski | First 5 Authors: Aleksandr S. Mokeev, Yu-Ning Zhang, Viatcheslav V. Dobrovitski, , | Summary: Entangled qubits transported through space is a key element in many prospective quantum information systems, from long-distance quantum communication to large modular quantum processors. The moving qubits are decohered by time- and space-dependent noises with […]


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A General Method for Optimal Decentralized Control with Current State/Output Feedback Strategy

Kavli Affiliate: Yawen Sun | First 5 Authors: Hongdan Li, Yawen Sun, Huanshui Zhang, , | Summary: This paper explores the decentralized control of linear deterministic systems in which different controllers operate based on distinct state information, and extends the findings to the output feedback scenario. Assuming the controllers have a linear state feedback structure, […]


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Qihoo-T2X: An Efficiency-Focused Diffusion Transformer via Proxy Tokens for Text-to-Any-Task

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin | Summary: The global self-attention mechanism in diffusion transformers involves redundant computation due to the sparse and redundant nature of visual information, and the attention map of tokens within a spatial window shows significant similarity. To address […]


Continue.. Qihoo-T2X: An Efficiency-Focused Diffusion Transformer via Proxy Tokens for Text-to-Any-Task

Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin | Summary: The global self-attention mechanism in diffusion transformers involves redundant computation due to the sparse and redundant nature of visual information, and the attention map of tokens within a spatial window shows significant similarity. To address […]


Continue.. Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task

A Hybrid Vectorized Merge Sort on ARM NEON

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jincheng Zhou, Jin Zhang, Xiang Zhang, Tiaojie Xiao, Di Ma | Summary: Sorting algorithms are the most extensively researched topics in computer science and serve for numerous practical applications. Although various sorts have been proposed for efficiency, different architectures offer distinct flavors to the implementation of parallel […]


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Stellar Mass Calibrations for Local Low-Mass Galaxies

Kavli Affiliate: Risa Wechsler | First 5 Authors: Mithi A. C. de los Reyes, Yasmeen Asali, Risa Wechsler, Marla Geha, Yao-Yuan Mao | Summary: The stellar masses of galaxies are measured using integrated light via several methods — however, few of these methods were designed for low-mass ($M_{star}lesssim10^{8}rm{M_{odot}}$) "dwarf" galaxies, whose properties (e.g., stochastic star […]


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Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?

Kavli Affiliate: Jia Liu | First 5 Authors: Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness Shroff | Summary: Federated Learning (FL) has gained significant popularity due to its effectiveness in training machine learning models across diverse sites without requiring direct data sharing. While various algorithms along with their optimization analyses have shown that […]


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Brain-wide circuitry underlying altered auditory habituation in zebrafish models of autism.

Kavli Affiliate: Ellen J. Hoffman | Authors: Maya Wilde, Anahita Ghanbari, Tessa Mancienne, AilĂ­s Moran, Rebecca E. Poulsen, Lena Constantin, Conrad Lee, Leandro Aluisio Scholz, Joshua Arnold, Wei Qin, Timothy J. Karle, Steven Petrou, Itia A. Favre-Bulle, Ellen J. Hoffman and Ethan K. Scott | Summary: IAuditory processing is widely understood to occur differently in […]


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Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Kavli Affiliate: Chihway Chang | First 5 Authors: Dhayaa Anbajagane, Shivam Pandey, Chihway Chang, , | Summary: Semi-analytic methods can generate baryon-corrected fields from N-body simulations (“baryonification”) and are rapidly becoming a ubiquitous tool in modeling structure formation on non-linear scales. We extend this formalism to consistently model the weak lensing and thermal Sunyaev-Zeldovich (tSZ) […]


Continue.. Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Kavli Affiliate: Chihway Chang | First 5 Authors: Dhayaa Anbajagane, Shivam Pandey, Chihway Chang, , | Summary: Semi-analytic methods can generate baryon-corrected fields from N-body simulations (“baryonification”) and are rapidly becoming a ubiquitous tool in modeling structure formation on non-linear scales. We extend this formalism to consistently model the weak lensing and thermal Sunyaev-Zeldovich (tSZ) […]


Continue.. Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields