Optimize prompts, code, and more with AI-powered Reflective Optimization
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
EDA-Q is a full-stack electronic design automation (EDA) tool for quantum chip design, supporting both superconducting and trapped-ion quantum computing architectures. The platform enables researchers and engineers to efficiently design, simulate, and optimize quantum chips.
Time-Series-Optimized Transformer for Observability