Bell Distillation Optimization Algorithm

This project aims to develop a Julia module for simulating and optimizing Bell distillation circuits, addressing the challenge of selecting efficient entanglement purification strategies under varying noise and resource constraints. I will first construct a structured database of Bell distillation circuits with associated performance metrics. I will then design an optimization algorithm that selects the most suitable circuit based on inputs such as target fidelity, error rates, and resource availability. The project will include a simulation framework for evaluating circuit performance under configurable noise models. Deliverables include the circuit database, simulation tools, optimization algorithm, and a well-documented, user-friendly Julia product that integrates with existing quantum simulation workflows. This tool will enable researchers to systematically explore and deploy optimal distillation strategies, improving efficiency and accelerating experimentation in quantum computing.