137 citations
- Qingdao UniversityCN5 papers
- Fudan UniversityCN3 papers
- State Key Laboratory of Surface Physics3 papers
- Westlake UniversityCN3 papers
- Beijing Computational Science Research CenterCN1 paper
- Beijing Normal UniversityCN1 paper
- Harbin Institute of TechnologyCN1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di TriesteIT1 paper
- Jimo District Qingdao Hospital of Traditional Chinese MedicineCN1 paper
- Maternal and Child Health Hospital of Sichuan ProvinceCN1 paper
- Munich Center for Quantum Science and TechnologyDE1 paper
- Qingdao Women and Children's HospitalCN1 paper
5 papers
Robustness of Magic in the quantum Ising chain via Quantum Monte Carlo tomography
Hari Timsina, Yi-Ming Ding, Emanuele Tirrito +5
We study the behavior of magic as a bipartite correlation in the quantum Ising chain across its quantum phase transition, and at finite temperature. In order to quantify the magic…
CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study
Tingrui Zhang, Honglin Wu, Zekun Jiang +9
Aimed to develop and validate a CT radiomics-based explainable machine learning model for precise diagnosing malignancy and benignity specifically in endometrial cancer (EC) patien…
Addressing general measurements in quantum Monte Carlo
Zhiyan Wang, Zenan Liu, Bin-Bin Mao +2
Quantum Monte Carlo is one of the most promising approaches for dealing with large-scale quantum many-body systems. It has played an extremely important role in understanding stron…
Sampling reduced density matrix to extract fine levels of entanglement spectrum and restore entanglement Hamiltonian
Bin-Bin Mao, Yi-Ming Ding, Zhe Wang +2
The reduced density matrix (RDM) plays a key role in quantum entanglement and measurement, as it allows the extraction of almost all physical quantities related to the reduced degr…
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
Fenghe Tang, Lingtao Wang, Chunping Ning +2
U-Net and its extensions have achieved great success in medical image segmentation. However, due to the inherent local characteristics of ordinary convolution operations, U-Net enc…