Oracle Corporation and the quantum software engineering company Classiq have successfully completed a high-performance computing (HPC) proof of concept, integrating natural-language AI agents with classical supercomputing clusters. The collaboration demonstrates an end-to-end workflow where an AI agent synthesizes enterprise-grade quantum code from simple user prompts, which is then compiled and executed on NVIDIA DGX A100 supercomputing nodes via Oracle Cloud Infrastructure (OCI).

The technical milestone involved executing a demanding 36-qubit simulation, which exceeds the typical 29-qubit limit of standard local development environments. To manage the massive data volume of approximately 68.7 billion complex amplitudes, the team utilized an external execution-adaptation layer to export circuits into OpenQASM scripts, which were then processed within a Docker-based NVIDIA cuQuantum Appliance container on OCI. The workflow modeled a 12-asset mean-variance portfolio optimization problem using the Quantum Approximate Optimization Algorithm (QAOA).

This integration marks a significant shift in quantum software development, moving from manual gate-level programming to abstract, AI-driven prototyping and large-scale validation. By leveraging the high-throughput parallel compute resources of OCI, this approach allows enterprise R&D teams to scale quantum applications—ranging from financial modeling to logistics planning—on existing high-performance classical infrastructure while preparing for future fault-tolerant quantum processors.

Source: quantumcomputingreport.com
Publication date: 27.05.2026
Author: Mohamed Abdel-Kareem