Quantum|Copilot is an advanced AI-powered platform designed to assist users in generating code for quantum algorithms, drawing quantum circuits, and converting quantum code between various programming languages and libraries. By leveraging the latest conversational AI, Quantum Copilot enables intuitive and seamless interaction with quantum computing resources, making it a valuable tool for both novice and experienced quantum programmers.

Poke-Env is designed to streamline the creation and evaluation of AI agents for Pokémon Showdown battles by providing a comprehensive Python interface. It handles communication with the Pokémon Showdown server, parses game state data, and manages turn-by-turn actions through an event-driven architecture. Users can extend base player classes to implement custom strategies using reinforcement learning or heuristic algorithms. The framework offers built-in support for battle simulations, parallelized matchups, and detailed logging of actions, rewards, and outcomes for reproducible research. By abstracting low-level networking and parsing tasks, Poke-Env allows AI researchers and developers to focus on algorithm design, performance tuning, and comparative benchmarking of battle strategies.