Description

Problem

Current large language models (LLMs) for quantum programming generate code that is not hardware-aware, resulting in circuits incompatible with the specific topologies of NISQ devices. This lack of hardware consideration often leads to non-executable or sub-optimal circuits that require extensive manual adaptation, limiting efficiency and scalability.

Goal

To develop and evaluate a topology-aware LLM framework that generates executable, hardware-specific quantum circuits tailored to NISQ devices.

Required Skills and Knowledge

• Multi Agent Systems

• Python

• Quantum Computing