The high-precision cross-section data for the reaction $\gamma p \to K^{*+}\Lambda$ reported by the CLAS Collaboration at the Thomas Jefferson Nation…

This paper looks into the analysis of the long-range auto-correlations and cross-correlations in bond market. Based on Detrended Moving Average (DMA)…

Traditionally, most of the existing attribute learning methods are trained based on the consensus of annotations aggregated from a limited number of …

We study multi-Higgs final states in vector boson fusion (VBF) processes at the LHC and at future proton-proton colliders, focusing on the prospects …

The dynamics of a two-dimensional superconductor under a constant electric field $E$ is studied by using the gauge/gravity correspondence. The pair b…

We here introduce a Fortran code that computes anharmonic free energy of solids from first-principles based on our phonon quasiparticle approach. In …

Based on the LAMOST survey and Sloan Digital Sky Survey (SDSS), we use low-resolution spectra of 130,043 F/G-type dwarf stars to study the kinematics…

Recently, crowdsourcing has emerged as an effective paradigm for human-powered large scale problem solving in various domains. However, task requeste…

Uncertainty relation is one of the fundamental building blocks of quantum theory. Nevertheless, the traditional uncertainty relations do not fully ca…

There are more than eight hundred interest rates published in China bond market every day. Which are the benchmark interest rates that have broad inf…

This paper presents a study of a possible contribution to a Higgs boson signal in the $hh\to \gamma\gamma\gamma\gamma$ channel due to $H\to hh$ decay…

We propose a systematic scheme to reach the properties of two-dimensional (2D) statistical and quantum systems by studying the effective (1+1)-dimens…

We study the preheating process in a model of DBI inflation with a DBI-type inflaton coupling to a canonical entropy field. At the end of inflation, …

Entanglement is a unique nature of quantum theory and has tremendous potential for application. Nevertheless, the complexity of quantum entanglement …

In this paper, we explore the redundancy in convolutional neural network, which scales with the complexity of vision tasks. Considering that many fro…

Three different tensor network optimization algorithms are employed to accurately determine the ground state and thermodynamic properties of the spin…

The quantum phase transition, scaling behaviors, and thermodynamics in the spin-1/2 quantum Heisenberg model with antiferromagnetic coupling $J>0$ in…

In this work we report an experimental verification of three uncertainty relations for triple observables and four uncertainty relations for N observables with single photon measurements. It is demonstrated that these uncertainty relations are valid…

The uncertainty relation is a distinguishing feature of quantum theory, characterizing the incompatibility of noncommuting observables in the prepara…

As the core component of Natural Language Processing (NLP) system, Language Model (LM) can provide word representation and probability indication of …

Learning features from massive unlabelled data is a vast prevalent topic for high-level tasks in many machine learning applications. The recent great…

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