A5083328834- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Business Process Modeling and Analysis
- Quantum-Dot Cellular Automata
- Neural Networks and Reservoir Computing
- Educational Reforms and Innovations
- Surgical Simulation and Training
- Security and Verification in Computing
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Advanced Image and Video Retrieval Techniques
- Formal Methods in Verification
- Image Retrieval and Classification Techniques
- Sparse and Compressive Sensing Techniques
- Advanced Text Analysis Techniques
- Computational Physics and Python Applications
- Complex Network Analysis Techniques
- Mobile Agent-Based Network Management
- Optical Network Technologies
- Groundwater flow and contamination studies
- Network Traffic and Congestion Control
- Digital Transformation in Industry
- Distributed systems and fault tolerance
- Industrial Technology and Control Systems
- Software System Performance and Reliability
University of British Columbia
2023-2024
Pacific Northwest National Laboratory
2023-2024
Hebei University
2021-2023
Tang Du Hospital
2018
Microsoft (United States)
2009
The success of a quantum algorithm hinges on the ability to orchestrate successful application induction. Detrimental overheads in mapping general circuits physically implementable routines can be deciding factor between and erroneous circuit In QASMTrans, we focus problem rapid transpilation. Transpilation plays crucial role converting high-level, machine-agnostic into machine-specific constrained by physical topology supported gate sets. efficiency transpilation continues substantial...
Multi-behavioral recommender systems have emerged as a solution to address data sparsity and cold-start issues by incorporating auxiliary behaviors alongside target behaviors. However, existing models struggle accurately capture varying user preferences across different fail account for diverse item within Various preference factors (such price or quality) entangled in the behavior may lead sub-optimization problems. Furthermore, these overlook personalized nature of behavioral employing...
The Quantum Approximate Optimization Algorithm (QAOA) addresses combinatorial optimization challenges by converting inputs to graphs. However, the optimal parameter searching process of QAOA is greatly affected noise. Larger problems yield bigger graphs, requiring more qubits and making their outcomes highly noise-sensitive. This paper introduces Red-QAOA, leveraging energy landscape concentration via a simulated annealing-based graph reduction. Red-QAOA creates smaller (distilled) with...
Large-scale simulations of quantum circuits pose significant challenges, especially in chemistry, due to the number qubits, circuit depth, and needed per problem. High-performance computing (HPC) systems offer massive computational capabilities that could help overcome these obstacles. We developed a high-performance simulator called NWQ-Sim, demonstrated its capability simulate large chemistry problems on NERSC's Perlmutter supercomputer. Integrating NWQ-Sim with XACC, an open-source...
Modern logistics has entered the era of smart which frees humans from (control) activities that can be delegated to products and services. Smart different requirements on training practical talents management in terms talent type, knowledge structure, ability quality. In this paper, we analyze context logistics, propose objectives talents, put forward a new curriculum system for management, design core courses include Introduction Logistics, Logistics Technology Application, Equipment...
Variational Quantum Algorithms (VQA) aim to enhance the capabilities of Noisy Intermediate-Scale (NISQ) devices. These algorithms utilize parameterized circuits and classical optimizers iteratively execute with varying parameters. However, VQA faces computational overheads due repeated iterations random restarts. Prior work suggests using basic sub-graphs transfer parameters for input graph, reducing optimizer but limiting applicability structured regular graphs. In real-world applications,...
At present, Laparoscopy has become a professional skill that surgeons have to master. In cultivating in laparoscopy our country, there are some deficiencies such as unbalanced regional development, technical difficulties, long learning curve, lack of standardized training mode and so on. Based on the original foundations, Department Gastrointestinal Surgery, Tangdu Hospital, Air Force Mili-tary Medical University, been constructing improving system by modifying course contents, endoscopic...