S. L. Wu
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View article: X-ray phase-contrast imaging using a quasi-monochromatic all-optical inverse Compton scattering source
X-ray phase-contrast imaging using a quasi-monochromatic all-optical inverse Compton scattering source Open
Laser wakefield accelerators (LWFAs) offer acceleration gradients up to 1000 times higher than those of conventional radio-frequency accelerators, offering a pathway to significantly more compact and cost-effective accelerator systems. Thi…
View article: SAM-DTI: A Spatial Attention Model for Drug-Target Interaction Prediction
SAM-DTI: A Spatial Attention Model for Drug-Target Interaction Prediction Open
Drug-target protein interaction (DTI) prediction is an important area of research in drug repurposing and discovery. Laboratory experiments for exploring DTI space need a lot of time and money due to the high volume of potential compounds.…
View article: Enhancing Knowledge of Construction Safety: A Semantic Network Analysis Approach
Enhancing Knowledge of Construction Safety: A Semantic Network Analysis Approach Open
The construction industry is recognized as high-risk due to frequent accidents and injuries, prompting extensive research and bibliometric analysis of construction safety. However, little attention has been given to the evolution and inter…
View article: Does the participation of non-state shareholders matter for state-owned enterprises’ resilience?
Does the participation of non-state shareholders matter for state-owned enterprises’ resilience? Open
This study examines the impact of non-state shareholder participation on the resilience of state-owned enterprises (SOEs) in China during the COVID-19 pandemic. Using daily stock price data of A-share SOEs listed in Shanghai and Shenzhen f…
View article: Frontier Application of New Generation AI Technology
Frontier Application of New Generation AI Technology Open
This chapter examines the evolution of intelligent manufacturing, intelligent agriculture, intelligent healthcare, and intelligent education in contemporary society, along with their influence on urbanization. In the context of Industry 4.…
View article: Going beyond quantum Markovianity and back to reality: An exact master equation study
Going beyond quantum Markovianity and back to reality: An exact master equation study Open
The precise characterization of dynamics in open quantum systems often presents significant challenges, leading to the introduction of various approximations to simplify a model. One commonly used strategy involves Markovian approximations…
View article: 50 Years of quantum chromodynamics
50 Years of quantum chromodynamics Open
View article: Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware Open
Our group pioneers the use of Quantum Machine Learning (QML) on High Energy Physics analysis at LHC. We have successfully employed several QML classification algorithms in the ttH (Higgs production in association with a top quark pair) and…
View article: Abstracts from the Proceedings of the 34th Biennial Conference of the Australian Association of Animal Sciences
Abstracts from the Proceedings of the 34th Biennial Conference of the Australian Association of Animal Sciences Open
Study the impact of heat stress
View article: Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware
Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware Open
Machine learning enjoys widespread success in High Energy Physics (HEP) analyses at LHC. However the ambitious HL-LHC program will require much more computing resources in the next two decades. Quantum computing may offer speed-up for HEP …
View article: Challenges and opportunities in quantum machine learning for high-energy physics
Challenges and opportunities in quantum machine learning for high-energy physics Open
View article: Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits
Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits Open
One of the major objectives of the experimental programs at the Large Hadron Collider (LHC) is the discovery of new physics. This requires the identification of rare signals in immense backgrounds. Using machine learning algorithms greatly…
View article: Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware Open
One of the major objectives of the experimental programs at the LHC is the discovery of new physics. This requires the identification of rare signals in immense backgrounds. Using machine learning algorithms greatly enhances our ability to…
View article: Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware Open
The ambitious HL-LHC program will require enormous computing resources in the next two decades. A burning question is whether quantum computer can solve the ever growing demand of computing resources in High Energy Physics in general and p…
View article: Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware Open
The ambitious HL-LHC program will require enormous computing resources in the next two decades. A burning question is whether quantum computer can solve the ever growing demand of computing resources in High Energy Physics in general and p…
View article: Topological background discrimination in the PandaX-III neutrinoless double beta decay experiment
Topological background discrimination in the PandaX-III neutrinoless double beta decay experiment Open
The PandaX-III experiment plans to search for neutrinoless double beta decay\n(0$\\nu\\beta\\beta$) of $^{136}$Xe in the China JinPing underground Laboratory\n(CJPL). The experiment will use a high pressure gaseous Time Projection Chamber\…
View article: LHC Dark Matter Working Group: Next-generation spin-0 dark matter models
LHC Dark Matter Working Group: Next-generation spin-0 dark matter models Open
View article: Gauge invariance for a class of tree diagrams in the standard model
Gauge invariance for a class of tree diagrams in the standard model Open
For gauge theory, the matrix element for any physical process is independent of the gauge used. Since this is a formal statement and examples are known where gauge invariance is violated, for any specific process this gauge invariance need…
View article: Fermion-boson symmetry and quantum field theory
Fermion-boson symmetry and quantum field theory Open
The application of fermion-boson symmetry to the standard model leads to the following: first, there are three generations of scalar quarks and scalar leptons in addition to the known quarks and leptons, and, secondly, the divergences in t…
View article: LHC Dark Matter Working Group: Next-generation spin-0 dark matter models
LHC Dark Matter Working Group: Next-generation spin-0 dark matter models Open
Dark matter (DM) simplified models are by now commonly used by the ATLAS and CMS Collaborations to interpret searches for missing transverse energy ($E_T^\mathrm{miss}$). The coherent use of these models sharpened the LHC DM search program…
View article: High Energy Physics Research: Experimental & Theoretical (Final Report)
High Energy Physics Research: Experimental & Theoretical (Final Report) Open
The research at the energy frontier was to explore high energy and luminosity collisions at the LHC using the ATLAS and CMS detectors to lead physics analyses in characterization of the Higgs Boson, to search for its potential partners, to…
View article: Comparing the R gauge and the unitary gauge for the standard model: An example
Comparing the R gauge and the unitary gauge for the standard model: An example Open
View article: Performance of Silicon Pixel Detectors at Small Track Incidence Angles for the ATLAS Inner Tracker Upgrade
Performance of Silicon Pixel Detectors at Small Track Incidence Angles for the ATLAS Inner Tracker Upgrade Open
View article: Performance of silicon pixel detectors at small track incidence angles for the ATLAS Inner Tracker upgrade
Performance of silicon pixel detectors at small track incidence angles for the ATLAS Inner Tracker upgrade Open
View article: First Observation of $CP$ Violation in $\\bar{B}^{0}\\rightarrow D^{(*)}_{CP} h^{0}$ Decays by a Combined Time-Dependent Analysis of BaBar and Belle Data
First Observation of $CP$ Violation in $\\bar{B}^{0}\\rightarrow D^{(*)}_{CP} h^{0}$ Decays by a Combined Time-Dependent Analysis of BaBar and Belle Data Open
We report a measurement of the time-dependent CP asymmetry of B0->D(*)CP h0 decays, where the light neutral hadron h0 is a pi0, eta or omega meson, and the neutral D meson is reconstructed in the CP eigenstates K+ K-, K0S pi0 or K0S omega.…