Quantum Algorithm
Quantum Computing
Quantum Computing focuses on the design, fabrication, and integration of quantum chips, involving collaboration among teams in wafer fabrication, materials, and quantum programming. Key objectives include investigating Gottesman-Kitaev-Preskill (GKP) state error correction circuits for large-scale quantum chips, designing quantum microprocessor chips using nonlinear photonic processes, and demonstrating prototypes for one-way measurement-based quantum computing. Key deliverables encompass the optimization of GKP error correction schemes and the characterization of quantum microprocessor chips.
Quantum Communication
Quantum communication focuses on the development of secure communication chips and systems. This initiative aims to create Quantum Key Distribution (QKD) chips that ensure high levels of privacy and confidentiality in information transmission, design various QKD systems using physical platforms such as free space and fiber optics, and investigate quantum network protocols for large-scale communication networks. Key deliverables include demonstrations of QKD chips, a functional prototype of a high-key-rate chip-based QKD system, and quantum network chips for extensive quantum communication networks.
Quantum Machine Learning
Quantum Machine Learning focuses on developing advanced machine-learning techniques that leverage quantum systems. Key objectives include creating a large quantum neural network to tackle quantum finance problems, optimizing quantum machine learning algorithms to utilize superposition and entanglement for improved performance, and exploring solutions for complex challenges in optimization, pattern recognition, and data analysis. Deliverables include simulations of quantum finance algorithms, demonstrations of quantum algorithms, and the application of quantum machine learning in pattern recognition and data analysis.
Quantum Methodology and Sensing
Quantum Methodology and Sensing focuses on developing quantum sensors and innovative measurement techniques that significantly enhance sensitivity and accuracy across various applications, including physics, engineering, and biomedical fields. Key deliverables of this research include advanced quantum sensor prototypes with improved performance, novel measurement techniques that leverage quantum principles, and enhanced data processing algorithms for better data acquisition and analysis. Additionally, the research aims to demonstrate practical applications of quantum sensing in areas such as navigation and medical imaging, while providing insights into the fundamental principles of quantum mechanics as they relate to measurement.
