98 citations
- University of NottinghamGB16 papers
- Sungkyunkwan UniversityKR3 papers
- Sunway UniversityMY3 papers
- Edith Cowan UniversityAU2 papers
- Taylor's UniversityMY2 papers
- UCSI UniversityMY2 papers
- University of the West of EnglandGB2 papers
- Aston UniversityGB1 paper
- Baylor UniversityUS1 paper
- Central South UniversityCN1 paper
- Eindhoven University of TechnologyNL1 paper
- Federal University of Technology MinnaNG1 paper
83 papers
Entanglement generation across exceptional points in two-qubit open quantum system -- the role of initial states
B. A. Tay, Yee Shean H'ng
We study an open quantum system of two qubits that are coupled by swapping interaction. Using the coupling strength between the qubits as a time scale, the Liouvillian of the syste…
Liouvillian exceptional points in continuous variable system
B. A. Tay
The Liouvillian exceptional points for a quantum Markovian master equation of an oscillator in a generic environment are obtained. They occur at the points when the modified freque…
Balancing Accuracy and Latency in Multipath Neural Networks
Mohammed Amer, Tomás Maul, Iman Yi Liao
The growing capacity of neural networks has strongly contributed to their success at complex machine learning tasks and the computational demand of such large models has, in turn,…
Excitation relaxation in molecular chain and energy transfer at steady state
B. A. Tay
We consider the reduced dynamics of a molecular chain weakly coupled to a phonon bath. With a small and constant inhomogeneity in the coupling, the excitation relaxation rates are…
Incremental learning with online SVMs on LiDAR sensory data
Le Dinh Van Khoa, Zhiyuan Chen
The pipelines transmission system is one of the growing aspects, which has existed for a long time in the energy industry. The cost of in-pipe exploration for maintaining service a…
Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model
Chen ZhiYuan, Olugbenro. O. Selere, Nicholas Lu Chee Seng
This paper aims at improving the classification accuracy of a Support Vector Machine (SVM) classifier with Sequential Minimal Optimization (SMO) training algorithm in order to prop…