A5100686860- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Quantum many-body systems
- Electronic and Structural Properties of Oxides
- Diamond and Carbon-based Materials Research
- Quantum and electron transport phenomena
- ZnO doping and properties
- Advanced Thermodynamics and Statistical Mechanics
- Advanced Measurement and Detection Methods
- Topological Materials and Phenomena
- Laser-Matter Interactions and Applications
- Evacuation and Crowd Dynamics
- Atomic and Subatomic Physics Research
- Advanced Measurement and Metrology Techniques
- Satellite Communication Systems
- Air Quality Monitoring and Forecasting
- Quantum, superfluid, helium dynamics
- Aluminum Alloys Composites Properties
- Advanced machining processes and optimization
- Age of Information Optimization
- Spectroscopy Techniques in Biomedical and Chemical Research
- Transportation Planning and Optimization
- Electrical Fault Detection and Protection
- Brain Tumor Detection and Classification
- Statistical Mechanics and Entropy
Southern University of Science and Technology
2021-2024
Shenyang University of Technology
2024
Craft Group (China)
2022-2024
Xidian University
2023-2024
Shanghai Normal University
2022-2023
North China University of Science and Technology
2022-2023
University of Electronic Science and Technology of China
2022
Hefei University of Technology
2020
Out-of-time-order correlator (OTOC), been suggested as a measure of quantum information scrambling in many-body systems, has received enormous attention recently. The experimental measurement OTOC is quite challenging. existing theoretical protocols consist implementing time-reversal operations or using ancillary therefore only few experiments have reported. Recently, new protocol to detect statistical correlations between randomized measurements was put forward. In this work, we the OTOCs...
Entanglement, as a key resource for modern quantum technologies, is extremely fragile due to the decoherence. Here, we show that autoencoder, which trained compress particular set of entangled states into subspace robust decoherence, can be employed preserve entanglement. The training process based on hybrid quantum-classical approach improve efficiency in building autoencoder and reduce experimental errors during optimization. Using nitrogen-vacancy centers diamond, demonstrate between...
High-quality control is a fundamental requirement for quantum computation, but practically it often hampered by the presence of various types noises, which can be static or time-dependent. In many realistic scenarios, multiple noise sources coexist, and their resulting effects need corrected to sufficient order, posing significant challenges design effective robust methods. Here, we explore method optimal generally tackle problem resisting noises from complicated environment. Specifically,...
Image-enhanced knowledge graph completion aims to predict potential linkings in KGs by utilizing auxiliary visual information from entity's images. Ideally, the image selection process should be dynamic, considering context of inferred relations. However, current methods often assess importance a static way, based on how well they represent each entity. To solve above issues, we propose an Adaptive Knowledge Graph Completion model (AI-KGC). The core idea behind this is switch strategies...
Quantum simulation offers an analog approach for exploring exotic quantum phenomena using controllable platforms, typically necessitating ultracold temperatures to maintain the coherence. Superradiance lattices (SLs) have been harnessed simulate coherent topological physics at room temperature, but thermal motion of atoms remains a notable challenge in accurately measuring physical quantities. To overcome this obstacle, we implement velocity scanning tomography technique discern responses...
No single lubricant can provide effective lubrication in various environments. In this study, both graphene (RGO) and WS2 were added to the Cu matrix prepare self-lubricating composites that adapt different Three kinds of Cu-based containing volume ratios lubricants fabricated by a hot-pressing method. The physical mechanical properties measured. tribological behaviors tested using ring-on-disc wear tester air vacuum Scanning electron microscopy, 3D laser scanning confocal X-ray...
Quantum computing exploits fundamentally new models of computation based on quantum mechanical properties instead classical physics, and it is believed that computers are able to dramatically improve computational power for particular tasks. At present, nuclear magnetic resonance (NMR) has been one the most successful platforms amongst all current implementations. It demonstrated universal controls largest number qubits, many advanced techniques developed in NMR have adopted other systems...
Entanglement is a key property in the development of quantum technologies and study many-body simulations. However, entanglement measurement typically requires full-state tomography (FST). Here we present neural network-assisted protocol for measuring equilibrium non-equilibrium states local Hamiltonians. Instead FST, it can learn comprehensive quantities from single-qubit or two-qubit Pauli measurements, such as R\'enyi entropy, partially-transposed (PT) moments, coherence. It also exciting...
Evacuation guiders play an important role when emergency events occur in urban open public spaces. Considering the shortcomings of existing studies, optimization method based on Particle Swarm Optimization (PSO) algorithm and gradual covering model for spatial allocation evacuation spaces is proposed. This considers impact obstacles intervisibility between evacuees, non-linear changing characteristics guiding quality distances evacuees to optimize space Based simulation, efficiencies before...
Topological quantum computation (TQC) is one of the most striking architectures that can realize fault-tolerant computers. In TQC, logical space and gates are topologically protected, i.e., robust against local disturbances. The topological protection, however, requires rather complicated lattice models hard-to-manipulate dynamics; even simplest system universal TQC--the Fibonacci anyon system--lacks a physical realization, let alone braiding non-Abelian anyons. Here, we propose disk model...
This paper adopts EP1K100QC208-3N FPGA chip as the main controller of intelligent automobile. We also added OV6620 camera module, parking space module and control motor module. use these modules to achieve automatic system.
High-quality control is a fundamental requirement for quantum computation, but practically it often hampered by the presence of various types noises, which can be static or time dependent. In many realistic scenarios, multiple noise sources coexist, and their resulting effects need to corrected sufficient order, posing significant challenges design effective robust methods. Here, we explore method optimal generally tackle problem resisting noises from complicated environment. Specifically,...
Quantum control plays a crucial role in enhancing precision scaling for quantum sensing. However, most existing protocols require perfect control, even though real-world devices inevitably have imperfections. Here, we consider fundamental setting of sensing with imperfect clocks, where the duration pulses and interrogation time are all subject to uncertainty. Under this scenario, investigate task frequency estimation presence non-Markovian environment. We design strategy prove that it...