The expected outcomes of this research include: 1) Proposing a method for enhancing the performance of photonic computing chips based on matrix mapping optimization, providing innovative solutions for the design of photonic computing platforms; 2) Validating the advantages of this method in improving computational efficiency and reducing resource consumption, offering a basis for practical applications; 3) Identifying common performance bottlenecks in photonic computing chips and proposing optimization strategies, promoting further development in related fields. These outcomes will help improve the computational efficiency of photonic computing chips, advance their application in the efficient operation of AI models, and provide experimental data and application scenarios for the further optimization of OpenAI models.
Optimization
Innovative algorithms for photonic computing chip performance evaluation.
Matrix Optimization
Innovative algorithm for photonic computing chip performance validation.
Experimental Validation
Testing algorithm efficiency in diverse computational scenarios.
Comparative Analysis
Evaluating resource consumption against traditional computational methods.