Effectiveness of LLM-based tools for hybrid computing

Determine the efficiency and effectiveness of large-language-model-based tools for hybrid quantum-classical computing.

Background

The paper discusses the potential use of LLMs to automate quantum circuit design, improve QUBO formulations, and translate classical algorithms into quantum-compatible code. Such tools could reduce the specialized expertise required to develop hybrid software across fragmented quantum programming languages and platforms.

However, the paper states that the efficiency and effectiveness of these tools remain unproven. Their evaluation is constrained by limited access to quantum hardware and by the current reliance of development environments on simulators, leaving their practical value unresolved.

References

The efficiency and effectiveness of LLM-based tools for hybrid computing remains unproven due to limited availability of hardware and the reliance of current development stacks on simulators.

— Hybrid Classical-Quantum Solutions to Accelerate the Adoption of Quantum Computing  (2610.06638 - Deshpande et al., 5 Oct 2026) in Section 5, Future Directions and Development Agenda