ORNL, NVIDIA, and HPE are collaborating at the Oak Ridge Leadership Computing Facility to weave quantum computing with artificial intelligence and high-performance computing for new scientific discovery.

The initiative is framed within the International Year of Quantum Science and Technology 2025 and seeks to empower quantum innovation across the U.S. scientific research ecosystem.

The effort leverages disaggregated HPC architectures, enabling modular pools of compute, memory, storage, and networking to efficiently scale for AI, data analytics, simulations, and quantum experiments.

Leaders emphasize accessibility and interoperability, with the goal of enabling large-scale scientific and industrial innovation through standardized interfaces and interoperability for future computing ecosystems.

A new hardware testbed will be built around an HPE-managed NVIDIA GB200 NVL72 system at ORNL’s OLCF, alongside Frontier, with initial installation expected in early 2026.

The GB200 NVL72 system will be installed in the OLCF data center, which also houses Frontier, ORNL’s exascale supercomputer.

The project aligns with broader aims to sustain U.S. leadership in HPC and quantum computing, pushing toward a hybrid computing era where quantum, classical HPC, and AI collaborate for breakthroughs.

Initial performance and stability testing are underway at an HPE manufacturing facility to validate scalable quantum error correction workflows before broader deployment.

A joint effort by Keysight and NVIDIA aims to advance hybrid quantum–AI computing by tightly integrating precise quantum control with AI-driven infrastructure.

NVIDIA stresses including quantum processors in AI supercomputers to run complex control tasks and hybrid applications, using NVQLink as a standardized interface for the next generation of computing.

The program features comparisons and iterative testing among actual quantum hardware, emulators, and classical systems like Frontier to study noise, error correction, and AI-assisted improvements.

Researchers anticipate that this hybrid approach will accelerate quantum error correction research and enable scalable, low-latency operations across multiple quantum technologies, including devices from Quantum Brilliance and IQM within ORNL’s ecosystem.