Innovative Quantum Learning Solutions
We integrate quantum entanglement with deep learning to develop advanced algorithms for quantum state classification and representation learning.
Our Research Phases
Our research spans theoretical analysis, algorithm design, and experimental validation, utilizing quantum computing simulators to enhance neural network performance.
Quantum Learning
Integrating quantum states with deep learning for innovative solutions.
Phase One
Theoretical analysis of quantum entangled states and properties.
Phase Two
Developing algorithms for optimized neural network architectures.
Phase Three
Experimental validation using quantum computing simulators for evaluation.
Phase Four
Testing algorithm performance in quantum state classification tasks.