output
20132026
most citedLearning Bayesian Networks from Incomplete Databases

102 citations

18 papers

quant-ph2026

Imaginarity as a Resource within Quantum Coherence: Geometric Decomposition and Operational Conversion

Meng-Li Guo, Nannan Guan, Bo Li +2

We establish a rigorous framework that identifies imaginarity as a fundamental resource inherent in quantum coherence. By means of a geometric decomposition, we partition coherence…

cs.CV2025

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning

Ji Cao, Yu Wang, Tongya Zheng +6

Trajectory representation learning (TRL) aims to encode raw trajectory data into low-dimensional embeddings for downstream tasks such as travel time estimation, mobility prediction…

physics.optics2025★ 18 cited

Ultrasensitive Higher-Order Exceptional Points via Non-Hermitian Zero-Index Materials

Dongyang Yan, Alexander S. Shalin, Yongxing Wang +6

Higher-order exceptional points (EPs) in optical structures enable ultra-sensitive responses to perturbations. However, previous investigations on higher-order EPs have predominant…

quant-ph2024★ 5 cited

Geometry of sets of Bargmann invariants

Lin Zhang, Bing Xie, Bo Li

Certain unitary-invariants, known as Bargmann invariants or multivariate traces of quantum states, have recently gained attention due to their applications in quantum information t…

cond-mat.mes-hall2024

Magnetically tuned topological phase in graphene nanoribbon heterojunctions

Wei-Jian Li, Da-Fei Sun, Sheng Ju +2

The interplay between topology and magnetism often triggers the exotic quantum phases. Here, we report an accessible scheme to engineer the robust topology by intr…

quant-ph2024★ 1 cited

Approaching the double-Heisenberg scaling sensitivity in the Tavis-Cummings model

Yuguo Su, Tiantian Ying, Bo Liu +1

The pursuit of quantum-enhanced parameter estimations without the need for nonclassical initial states has long been driven by the goal of achieving experimentally accessible quant…