Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model
The paper discusses the integration of a Coherent Ising Machine (CIM) with a large language model (LLM) to enhance quantum computing capabilities. This approach aims to simplify the modeling process for non-specialists and improve efficiency for experts. The authors highlight the potential for domestic technologies to empower quantum CIM applications while addressing ongoing challenges in the field.
- ▪Quantum computing devices are powerful tools for solving NP-complete problems but are complex for non-specialists.
- ▪The study integrates a femtosecond laser-pumped CIM with an LLM-driven agentic system using LangGraph and LangChain frameworks.
- ▪The research demonstrates that LLMs can effectively assist in modeling tasks such as QUBO/Ising model calibration and constraint weight iteration.
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Computer Science > Artificial Intelligence arXiv:2605.23934 (cs) [Submitted on 24 Apr 2026] Title:Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model Authors:Wang Rui, Lu Diannan View a PDF of the paper titled Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model, by Wang Rui and Lu Diannan View PDF HTML (experimental) Abstract:Quantum computing devices are recognized as powerful tools for solving NP-complete problems. However, the intricacy of their modeling presents notable barriers for non-specialists, while the tedious iteration of constraint weights and modeling methodologies also consumes substantial effort on the part of experts.
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