A5101889470- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Advanced Photocatalysis Techniques
- Advanced oxidation water treatment
- Quantum and electron transport phenomena
- Financial Markets and Investment Strategies
- Complex Systems and Time Series Analysis
- Neural Networks and Applications
- Optical measurement and interference techniques
- Computational Physics and Python Applications
- Surface Modification and Superhydrophobicity
- Adaptive optics and wavefront sensing
- Advanced Materials and Mechanics
- Fractional Differential Equations Solutions
- Blind Source Separation Techniques
- Aerodynamics and Fluid Dynamics Research
- Meteorological Phenomena and Simulations
- Environmental remediation with nanomaterials
- Wind and Air Flow Studies
- Nanomaterials for catalytic reactions
- Reinforcement Learning in Robotics
- Pickering emulsions and particle stabilization
- Polymer crystallization and properties
- Solar-Powered Water Purification Methods
Nankai University
2012-2024
Chinese Academy of Sciences
2005-2024
Hebei Agricultural University
2021-2024
Institute of Optics and Electronics, Chinese Academy of Sciences
2023-2024
University of Chinese Academy of Sciences
2019-2024
Alibaba Group (China)
2024
King University
2023
Peking University
2023
National Science Center
2023
Institute of Art
2023
The quantum-classical hybrid algorithm is a promising with respect to demonstrating the quantum advantage in noisy-intermediate-scale (NISQ) devices. When running such algorithms, effects due noise are inevitable. In our work, we consider well-known algorithm, approximate optimization (QAOA). We study on QAOA from typical channels, and produce several numerical results. Our research indicates that output state fidelity, i.e., cost function obtained QAOA, decreases exponentially number of...
Nature-inspired magnetically responsive intelligent topography surfaces have attracted considerable attention owing to their controllable droplet manipulation abilities. However, it is still challenging for realize three-dimensional (3D) droplet/multidroplet transport in both horizontal and vertical directions. Additionally, the propulsion speed needs be improved. In this work, a 3D strategy based on microplates array (MMA) actuated by spatially varying periodic magnetic field proposed. The...
Natural evolution has endowed diverse species with distinct geometric micro/nanostructures exhibiting admirable functions. Examples include anisotropic microgrooves/microstripes on the rice leaf surface for passive liquid directional rolling, and motile microcilia widely existed in mammals' body active matter transportation through situ oscillation. Till now, bionic studies have been extensively performed by imitating a single specific biologic functional system. However, fabrication of...
Stimuli-responsive anisotropic slippery surfaces (ASSs) have demonstrated intriguing performance in manipulating the behaviors of some liquids. However, most present methods been limited to conductive droplets, certain specific platforms, and higher manipulation temperature that greatly hinder its practical applications. Here, an electric-responsive paraffin-infused ASS (ER-PIASS) composed paraffin, microgrooved PDMS, flexible embedded silver nanowire heater is reported. Owing fast...
Firmness is a key indicator of apple quality. Building predictive model for firmness based on hyperspectral technology and regression algorithms can achieve rapid, non-destructive, high-throughput detection firmness. This paper adopts an Adaptive Window Length Savitzky-Golay Smoothing (AWL-SG smoothing) algorithm the (SG algorithm, which adaptively adjust window length according to change rate spectral data at different wavelengths. SG smoothing, AWL-SG Standard Normal Variate (SNV),...
Abstract Quantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which the cornerstone of quantum algorithms. Among various QRAM architectures, bucket‐brigade model stands out due to its noise resilience. This study presents hardware‐efficient native gate set implementing on superconducting platforms. The experimental feasibility proposed demonstrated, showing high fidelity and reduced complexity. By leveraging complementary control property...
Efficient simulation of large-scale quantum algorithms is pivotal yet challenging due to the exponential growth state space inherent in both Sch\"odinger-based and Feynman-based methods. While simulators can be highly efficient when sparse, these often do not fully support large-scale, complex which rely on QRAM other oracle-based operations. In this work, we present SparQSim, a simulator implemented C++ inspired by method. SparQSim operates at register level storing only nonzero components...
While quantum computing provides an exponential advantage in solving linear differential equations, there are relatively few algorithms for nonlinear equations. In our work, based on the homotopy perturbation method, we propose a algorithm $n$-dimensional dissipative ordinary equations (ODEs). Our first converts original ODEs into other which can be embedded finite-dimensional ODEs. Then solve with and obtain state $\epsilon$-close to normalized exact solution of success probability...
The quantum-classical hybrid algorithm is an that holds promise in demonstrating the quantum advantage NISQ devices. When running such algorithms, effects from noise are inevitable. In our work, we consider a well-known algorithm, approximate optimization (QAOA). We study on QAOA typical channels and produce several numerical results. Our research indicates output state fidelity, cost function, its gradient obtained decrease exponentially with respect to number of gates strength. Moreover,...
Dynamic self-assembly of micropillars has found wide applications in targeted trapping, micro-crystallization and plasmonic sensing. Yet the efficient fabrication array with high flexibility still remains a grand challenge. In this Letter, holographic femtosecond laser multi-foci beams (fs-MFBs) based on spatial light modulator (SLM) is adopted to efficiently create controllable geometry distribution by predesigning computer-generated holograms (CGHs). Based these array, diverse hierarchical...