RoboDk based Quantum state simulator

The Quantum‑Enhanced Robotics Simulator (QERS) is a fully‑functional digital testbed for designing, testing and validating robotic systems without physical hardware. Our goal is to narrow the reality gap between simulation and the real world by combining deterministic macro‑physics from engines like PyBullet with a quantum‑stochastic plugin that injects realistic noise via Qiskit. The simulator supports deterministic, stochastic and quantum‑perturbed stepping modes and exposes a FastAPI REST API for running jobs, retrieving metrics and managing assets. A Celery/Redis job system queues and executes simulation runs asynchronously, while the Next.js/Three.js web application provides a real‑time dashboard with a 3D viewport, scene tree, metrics panel and controls to toggle between classical domain randomization and quantum noise. Reality profiles define configurable dynamics, sensor and actuation parameters, enabling multi‑profile evaluation of policies. QERS computes gap metrics such as G_dyn, G_perc and G_perf and includes scripts for benchmarking across profiles and generating reports. Users can import URDFs, run batch simulations and compute performance drops and rank stability. Future phases will add mesh segmentation, an AI‑driven text‑to‑algorithm pipeline for generating planner and controller skeletons, and neural‑augmented simulation informed by real data. By combining quantum computing, domain randomization, residual learning and modern web technologies, QERS demonstrates a practical path to sim‑to‑real transfer and a production‑minded robotics startup.