Oracle and Classiq Integrate Quantum AI Agents with OCI for 36-Qubit Portfolio Optimization HPC Simulation

Why It Matters

The integration proves that large‑scale quantum simulations can be orchestrated on existing cloud HPC resources, accelerating quantum‑ready solutions for finance and other high‑value sectors. It lowers the barrier for enterprises to experiment with quantum algorithms while preserving code portability for future fault‑tolerant hardware.

Key Takeaways

• AI agent generated 36‑qubit QAOA circuit from natural‑language prompt
• Simulation ran on OCI’s NVIDIA DGX A100, using eight A100 GPUs
• State vector needed ~512 GiB GPU memory for 68.7 billion amplitudes
• Quantum simulation achieved 4.63% objective gap versus classical benchmark
• Integration lets enterprises prototype quantum finance models without manual gate coding

Pulse Analysis

The collaboration between Oracle and Classiq marks a pivotal step in bridging artificial intelligence and quantum computing for enterprise workloads. By leveraging a natural‑language AI agent, developers can describe high‑level optimization problems and receive ready‑to‑run quantum code, eliminating the steep learning curve of gate‑level programming. Oracle Cloud Infrastructure provides the necessary horsepower, with its NVIDIA DGX A100 offering eight A100 GPUs and high‑speed interconnects that can host the massive 512 GiB state vectors required for 36‑qubit simulations.

Technical depth underpins the proof‑of‑concept: the workflow translates a 12‑asset portfolio problem into a 36‑qubit circuit using the Quantum Approximate Optimization Algorithm. The circuit, comprising three QAOA layers and a depth of 730, was executed on a cuQuantum‑enabled Docker container, distributing matrix operations across the eight GPUs via MPI. Over five hours, the hybrid noiseless simulation performed 16,384 shots per iteration across 15 optimizer loops, delivering results within a 4.63% gap of a classical benchmark that sampled 200,000 random feasible states. This demonstrates that classical HPC clusters can faithfully emulate near‑term quantum algorithms at scales previously limited to specialized quantum hardware labs.

From a business perspective, the integration lowers the entry barrier for sectors such as financial risk management, aerospace, and logistics to explore quantum‑enhanced analytics. Companies can now prototype, debug, and validate quantum models on familiar cloud infrastructure, preserving investment while awaiting fault‑tolerant quantum processors. Oracle’s scalable OCI environment combined with Classiq’s automated compiler creates a reusable stack that can be extended to other optimization challenges, positioning both firms as key enablers of the emerging quantum‑first enterprise era.