Advanced Quantum Information Processing
Dedicated to advancing quantum algorithm optimization, quantum error correction theory, and quantum machine learning. We focus on developing efficient quantum computing protocols and exploring novel approaches to quantum information processing.
Research on the design and optimization of quantum algorithms, including performance improvements and practical applications of core algorithms such as quantum search and quantum factorization.
Development of novel quantum error correction codes to enhance fault tolerance in quantum computing and mitigate the impact of quantum decoherence on computational results.
Exploration of quantum computing applications in machine learning, investigating implementations of quantum neural networks and quantum optimization algorithms.