output
20112026
most citedEntanglement monogamy relations of qubit systems

142 citations

71 papers

physics.ao-ph2026

On the Limits of Univariate Deep Learning for Significant Wave Height Forecasting

Yilin Zhai, Hongyuan Shi, Zaijin You

This study conducts a systematic hyperparameter search across five deep learning architectures, DLinear, LSTM, PatchTST, ResAttLstm, and Mamba2, and nine context lengths (1-168 h)…

quant-ph2026

Monogamy inequalities of entanglement of assistance in systems

Xue-Na Zhu, Gui Bao, Zhi-Xiang Jin +2

The monogamy relations characterize the distribution of quantum correlations among the multipartite quantum systems. We study the monogamy relations of the entanglement of assistan…

cs.CV2026

RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval

Junsong Wang, Weiqing Min, Guorui Sheng +3

Fine-grained food image retrieval is a key task in computational gastronomy, with applications in food traceability, dietary monitoring, and smart catering systems. Although hashin…

cs.LG2026

PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting

Hua Wang, Xianhao Jiao, Fan Zhang

Deep forecasting models often suffer from attenuated periodic perception and entangled trend-noise representations as network depth increases. Moreover, the widely adopted channel-…

quant-ph2026

On fully entangled fraction of arbitrary quantum states

Xue-Na Zhu, Gui Bao, Ming Li +2

We study the fully entangled fraction of quantum states based on the Bloch representation of density matrices. Analytical upper bounds on the fully entangled fraction are obtained…

cond-mat.stat-mech2025

A matrix form solution of the multi-dimensional generalized Langevin equation in the quadratic potential

Rana Imran Mushtaq, Chunyang Wang, Shi Zhi +2

In this research paper, we present an exact matrix form analytical solution of the multi-dimensional generalized Langevin equation with quadratic potentials. Our investigation prov…