The design of good heuristics or approximation algorithms for NP-hard combinatorial optimization problems often requires significant specialized knowledge and trial-and-error. Can we automate this challenging, tedious process, learn the instead? In many real-world applications, it is typically case that same problem solved again on a regular basis, maintaining structure but differing in data. This provides an opportunity learning heuristic exploit such recurring problems. paper, propose...

Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one further infer indirect facts. However, challenging build QA systems which can learn reason over knowledge graphs based on question-answer pairs alone. First, when people ask questions, their expressions are noisy (for example, typos in texts, or variations pronunciations), non-trivial system match those mentioned...

Click prediction is one of the fundamental problems in sponsored search. Most existing studies took advantage machine learning approaches to predict ad click for each event view independently. However, as observed real-world search system, user's behaviors on ads yield high dependency how user behaved along with past time, especially terms what queries she submitted, clicked or ignored, and long spent landing pages ads, etc. Inspired by these observations, we introduce a novel framework...

Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one further infer indirect facts. However, challenging build QA systems which can learn reason over knowledge graphs based on question-answer pairs alone. First, when people ask questions, their expressions are noisy (for example, typos in texts, or variations pronunciations), non-trivial system match those mentioned...

The next revolution of the smart industry relies on emergence Industrial Internet Things (IoT) and 5G/6G technology. properties such sophisticated communication technologies will change our perspective information by enabling seamless connectivity bring closer entities, data, "things." Terahertz-based 6G networks promise best speed reliability, but they face new man-in-the-middle attacks. In critical high-sensitive environments, security data privacy still a big challenge. Without...

Click prediction is one of the fundamental problems in sponsored search. Most existing studies took advantage machine learning approaches to predict ad click for each event view independently. However, as observed real-world search system, user's behaviors on ads yield high dependency how user behaved along with past time, especially terms what queries she submitted, clicked or ignored, and long spent landing pages ads, etc. Inspired by these observations, we introduce a novel framework...

By using extended bosonic coherent states, a technique to solve the Dicke model exactly is proposed in numerical sense. The accessible system size two orders of magnitude higher than that reported literature. Finite-size scaling for several observables, such as ground-state energy, Berry phase, and concurrence, analyzed. A exponent energy found. An existing discrepancy concurrence reconciled.

We consider a harmonic charging field as an energy charger for the quantum battery, which consists of ensemble two-level atoms. The noninteracting atoms is completely fulfilled, exhibits substantial improvement over previous static fields. Involving repulsive interactions atoms, fully achieved with shorter charged period case, yielding advantage charging. Excluding field, phase transition induced by attractive atom-atom interactions, and interacting become degenerate in ground state. find...

The interplay of interactions, symmetries, and gauge fields usually leads to intriguing quantum many-body phases. To explore the nature emerging phases, we study a Rabi triangle system as an elementary building block for synthesizing artificial magnetic field. We develop analytical approach rich phase diagram associated criticality. Of particular interest is emergence chiral-coherent phase, which breaks both ${\mathbb{Z}}_{2}$ chiral symmetry. In this photons flow unidirectionally chirality...

We map a quantum Rabi ring, consisting of N cavities arranged in ring geometry, into an effective magnetic model containing the XY exchange and Dzyaloshinskii-Moriya (DM) interactions. The analog latter is induced by artificial field, which modulates photon hopping between nearest-neighbor with phase. This mapping facilitates description understanding different phases optical through simple arguments competing For square geometry (N=4) rich phase diagram exhibits three superradiant denoted...

By utilizing biorthogonal bases, we develop a comprehensive framework for studying dynamical quantum phase transitions in non-Hermitian systems. With the help of previously overlooked associated state, define automatically normalized Loschmidt echo. This approach is capable handling arbitrary systems with complex eigenvalues and naturally eliminates negative value rate obtained without bases. Taking Su-Schrieffer-Heeger model as concrete example, $1/2$ change topological order parameter...

We propose a general extended coherent state approach to the qubit (or fermion) and multi-mode boson coupling systems. The application spin-boson model with discretization of bosonic bath arbitrary continuous spectral density is described in detail, very accurate solutions can be obtained. quantum phase transition nontrivial sub-Ohmic case located by fidelity order-parameter critical exponents for $s<1/2$ correctly given susceptibility, demonstrating strength approach.

Privacy-preserving data mining (PPDM) has become an interesting and emerging topic in recent years because it helps hide confidential information, while allowing useful knowledge to be discovered at the same time. Data sanitization is a common way perturb database, thus sensitive or information can hidden. PPDM not trivial task concerned Non-deterministic Polynomial-time (NP)-hard problem. Many algorithms have been studied derive optimal solutions using evolutionary process, although most...

Markov Logic Networks (MLNs), which elegantly combine logic rules and probabilistic graphical models, can be used to address many knowledge graph problems. However, inference in MLN is computationally intensive, making the industrial-scale application of very difficult. In recent years, neural networks (GNNs) have emerged as efficient effective tools for large-scale Nevertheless, GNNs do not explicitly incorporate prior into may require labeled examples a target task. this paper, we explore...

Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020.

Internet of Things (IoT) supports high flexibility and convenience in several applications because the IoT devices continuously transfer, share, exchange data without human intervention. During shared or exchanged progress data, security privacy threats result published mainly corresponds to a raw dataset, an attacker can easily obtain details on environment. In paper, we present sanitization approach by adopting hierarchical-cluster method hide confidential information while still...

Within the numerically exact solution to Dicke model proposed previously, we study quantum criticality in terms of ground-state (GS) energy, fidelity, and order parameter. The finite size scaling analysis for average fidelity susceptibility (FS) second derivative GS energy are performed. correlation length exponent is obtained be $\nu=2/3$, which same as that Lipkin-Meshkov-Glick suggesting universality. It observed FS show similar critical behavior, demonstrating intrinsic relation model....

Quantum and classical pairwise correlations in two typical collective spin systems (i.e., the Dicke model Lipkin-Meshkov-Glick model) are discussed. These thermodynamical limit obtained analytically a finite-size system calculated numerically. Large-size scaling behavior for quantum discord itself is observed, which has never been reported another critical system. A logarithmic diverging first derivative of also found both models, might be universal second-order phase transition. It...

By using tunable extended bosonic coherent states, the JC model without rotating-wave approximation can be mapped to a polynomial equation with single variable. The solutions this recover exactly all eigenvalues and eigenfunctions of for coupling strengths detunings, which readily applied recent circuit quantum electrodynamic systems operating in ultra-strong regime.

Generalized squeezing rotating-wave approximation (GSRWA) is proposed by employing both the displacement and transformations. A solvable Hamiltonian reformulated in same form as ordinary RWA ones. For a qubit coupled to oscillators experiment, well-defined Schr\"{o}dinger-cat-like entangled state given displaced-squeezed oscillator instead of original displaced state. isotropic Rabi case, mean photon number ground-state energy are expressed analytically with additional terms, exhibiting...

The generalized rotating-wave approximation (GRWA) is presented for the two-qubit quantum Rabi model. analytical expressions in zeroth-order recover previous adiabatic ones. counter-rotating-wave terms can be eliminated by performing first-order corrections. An effective solvable Hamiltonian with same form as ordinary RWA one then obtained, giving very accurate eigenvalues and eigenstates. Energy levels present GRWA are accordance numerical exact diagonalization ones a wide range of coupling...