Llm-based process for quantum resource estimates

A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:

• receiving, by an LLM (large language model), an input prompt that comprises a description of a problem to be solved using quantum computing resources;
• by each QRE (quantum resource estimator) in an ensemble, determining, as an output of the QRE, a result that indicates the quantum computing resources needed to solve the problem;
• merging the QRE output results to generate a unified result;
• generating a list of available quantum computing resources that are able to meet requirements specified in the unified result;
• generating an output that is based on the list;
• and
• providing the output to the LLM, which uses the output to generate a human-readable output.