An On-demand Photonic Ising Machine with Simplified Hamiltonian Calculation by Phase encoding and Intensity Detection

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jiayi Ouyang, Yuxuan Liao, Zhiyao Ma, Deyang Kong, Xue Feng | Summary: The photonic Ising machine is a new paradigm of optical computing that takes advantage of the unique properties of light wave propagation, parallel processing, and low-loss transmission. Thus, the process of solving combinatorial optimization problems […]


Continue.. An On-demand Photonic Ising Machine with Simplified Hamiltonian Calculation by Phase encoding and Intensity Detection

On-demand Photonic Ising Machine with Simplified Hamiltonian Calculation by Phase encoding and Intensity Detection

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jiayi Ouyang, Yuxuan Liao, Zhiyao Ma, Deyang Kong, Xue Feng | Summary: The photonic Ising machine is a new paradigm of optical computing that takes advantage of the unique properties of light wave propagation, parallel processing, and low-loss transmission. Thus, the process of solving combinatorial optimization problems […]


Continue.. On-demand Photonic Ising Machine with Simplified Hamiltonian Calculation by Phase encoding and Intensity Detection

Device-Cloud Collaborative Recommendation via Meta Controller

Kavli Affiliate: Feng Wang | First 5 Authors: Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han | Summary: On-device machine learning enables the lightweight deployment of recommendation models in local clients, which reduces the burden of the cloud-based recommenders and simultaneously incorporates more real-time user features. Nevertheless, the cloud-based recommendation in the industry […]


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Stochastic Variational Methods in Generalized Hidden Semi-Markov Models to Characterize Functionality in Random Heteropolymers

Kavli Affiliate: Ting Xu | First 5 Authors: Yun Zhou, Boying Gong, Tao Jiang, Ting Xu, Haiyan Huang | Summary: Recent years have seen substantial advances in the development of biofunctional materials using synthetic polymers. The growing problem of elusive sequence-functionality relations for most biomaterials has driven researchers to seek more effective tools and analysis […]


Continue.. Stochastic Variational Methods in Generalized Hidden Semi-Markov Models to Characterize Functionality in Random Heteropolymers

WS-Snapshot: An effective algorithm for wide-field and large-scale imaging

Kavli Affiliate: Feng Wang | First 5 Authors: Yangfan Xie, Feng Wang, Hui Deng, Ying Mei, Ying-He Celeste Lu | Summary: The Square Kilometre Array (SKA) is the largest radio interferometer under construction in the world. The high accuracy, wide-field and large size imaging significantly challenge the construction of the Science Data Processor (SDP) of […]


Continue.. WS-Snapshot: An effective algorithm for wide-field and large-scale imaging

Experimental Test of Contextuality based on State Discrimination with a Single Qubit

Kavli Affiliate: Xiang Zhang | First 5 Authors: Qiuxin Zhang, Chenhao Zhu, Yuxin Wang, Liangyu Ding, Tingting Shi | Summary: Exploring quantum phenomena beyond predictions of any classical model has fundamental importance to understand the boundary of classical and quantum descriptions of nature. As a typical property that a quantum system behaves distinctively from a […]


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A method to computationally screen for tunable properties of crystalline alloys

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson, , | Summary: Conventionally, high-throughput computational materials searches start from an input set of bulk compounds extracted from material databases, and this set is screened for candidate materials for specific applications. In contrast, many functional materials, and especially […]


Continue.. A method to computationally screen for tunable properties of crystalline alloys

A method to computationally screen for tunable properties of crystalline alloys

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson, , | Summary: Conventionally, high-throughput computational materials searches start from an input set of bulk compounds extracted from material databases, and this set is screened for candidate materials for specific applications. In contrast, many functional materials, and especially […]


Continue.. A method to computationally screen for tunable properties of crystalline alloys

Solving Complex Nanostructures With Ptychographic Atomic Electron Tomography

Kavli Affiliate: Alex Zettl | First 5 Authors: Philipp M Pelz, Sinead Griffin, Scott Stonemeyer, Derek Popple, Hannah Devyldere | Summary: Transmission electron microscopy (TEM) is a potent technique for the determination of three-dimensional atomic scale structure of samples in structural biology and materials science. In structural biology, three-dimensional structures of proteins are routinely determined […]


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Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik, | Summary: Pre-training on time series poses a unique challenge due to the potential mismatch between pre-training and target domains, such as shifts in temporal dynamics, fast-evolving trends, and long-range and short cyclic effects, which can lead to poor […]


Continue.. Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency