Oracle Corporation and software developer Classiq have successfully tested a workflow for generating and simulating quantum code within the OCI cloud infrastructure.
As part of a “proof of concept,” the partners executed a portfolio optimization task based on the Markowitz model for 12 assets. A key feature of the experiment was the use of Classiq’s AI agent, which prepared executable code from a natural language text query in less than 15 minutes.
To verify the algorithm, a node of the NVIDIA DGX A100 supercomputer in Oracle Cloud Infrastructure was employed. Using the NVIDIA cuQuantum library, engineers simulated a 36-qubit circuit, significantly exceeding Classiq’s standard platform limit of 29 qubits.
The calculations were conducted on eight A100 graphics processors. According to project representatives, the full state vector model for 36 qubits requires about 512 GB of video memory.
The application of a hybrid QAOA algorithm with a circuit depth of 730 allowed for the processing of a space of 68.7 billion combinations. The complete simulation cycle took five hours, with the final result deviating from the classical market benchmark by only 4.63%.
Classiq emphasized that the project was not aimed at achieving quantum supremacy. Its purpose was to demonstrate the engineering link between AI code generation and scalable cloud computing for the financial sector and logistics.
There is no evidence of superiority over the best classical methods. This is a demonstration of technological process, not a breakthrough in computational efficiency.
Back in May, researchers at Multiverse Computing announced a quantum enhancement of a large language model on IBM equipment.