- Two companies aim to create an environment where hybrid quantum-AI workloads can be explored, tested, and eventually operationalised at scale.
- OCI customers will gain secure, managed access to Helios through OCI’s forthcoming quantum service.
- Oracle gets an opportunity to create a unique deeply integrated environment for hybrid workloads, explore enterprise use cases with customers, and accelerate commercial adoption.
Quantinuum and Oracle have announced a multi-year strategic partnership that will bring quantum computing directly to Oracle Cloud Infrastructure (OCI).
At the heart of the deal is Quantinuum’s Helios, the world’s most accurate commercial quantum computer, which will be deployed inside a US-based OCI AI data centre and made available to customers as a fully managed cloud service.
The partnership signals a shared conviction that the next era of enterprise computing will be defined by the convergence of three powerful paradigms: artificial intelligence, classical supercomputing, and quantum computing.
By embedding Helios within OCI’s existing high-performance computing (HPC) and GPU infrastructure, the two companies aim to create an environment where hybrid quantum-AI workloads can be explored, tested, and eventually operationalised at scale.
Helios, which launched commercially in November 2025, represents Quantinuum’s third-generation quantum computer. The system operates on 98 physical qubits using trapped-ion technology and has demonstrated capabilities involving up to 48 logical qubits.
Its standout metric is average two-qubit gate fidelity of 99.921 per cent, comfortably surpassing the widely recognised “three 9s” threshold that many in the field consider a benchmark for practical quantum computation.
Beyond raw performance, Helios carries a compelling efficiency story. Quantinuum estimates that a single Helios system draws less than one per cent of the power consumed by today’s leading supercomputers, positioning it as a lower-energy complement for appropriate hybrid workloads.
For enterprises increasingly conscious of both computational capability and sustainability, this energy profile adds a meaningful dimension to the value proposition.
For organisations that have been watching quantum computing from the sidelines, the partnership promises to lower the barrier to entry considerably. Rather than procuring, installing, and operating specialised quantum hardware — a prohibitively expensive and complex undertaking for most — OCI customers will gain secure, managed access to Helios through OCI’s forthcoming quantum service.
The integration is designed to sit natively within OCI’s existing compute, networking, storage, identity, and data services, operating under the same governance and access controls customers already use.
Oracle plans to preview the OCI quantum service in the coming months. The platform is expected to combine Quantinuum’s development stack with support for open-source hybrid-programming frameworks, enabling developers to move from simulation to execution on real quantum hardware through a streamlined workflow.
The ambition is to make the transition from classical to hybrid quantum-classical development as frictionless as possible.
The use cases in play
The partnership targets some of the most computationally intensive challenges facing enterprises and research institutions today. Among the application areas cited by both companies:
- Drug discovery and materials science, where quantum simulations could model molecular interactions far beyond the reach of classical methods.
- Financial modeling, including risk analysis and portfolio optimization problems that grow combinatorially complex.
- Logistics and large-scale optimisation, spanning supply chain management, energy grid balancing, and transportation routing.
- AI workload acceleration, exploring how quantum resources might complement GPU-based machine learning pipelines.
The vision extends beyond commercial interests. Quantinuum and Oracle have stated their intention to broaden access for universities and research institutions, supporting scientific discovery and education through the same cloud-based infrastructure.
The partnership has drawn early attention from both the research community and industry analysts.
Johannes Blaschke, Head of Scientific Computing at the Ellison Institute of Technology, framed the hybrid approach as a catalyst for scientific work: “Our roadmap includes exploring classical-quantum hybrid computing to accelerate scientific discovery. Having both GPUs and QPUs available within OCI would provide an all-in-one platform, simplify the operation of novel hardware, and help us move at speed from concept to execution by allowing our researchers to focus on innovation.”
Dr. Heather West, Global Quantum Research Lead at IDC, emphasised the operational dimension. “As quantum computing moves closer to enterprise adoption, simplifying how organisations access and integrate quantum resources has become just as important as advancing the hardware itself,” she said.
“Deploying quantum systems within private cloud environments enables organisations to integrate quantum computing into existing AI and HPC workflows through familiar cloud infrastructure and development tools.”
A convergence bet
The Quantinuum-Oracle partnership is best understood as a bet on convergence.
“We believe the next phase of enterprise computing will be shaped by bringing quantum, AI, and high-performance computing together,” said Dr. Rajeeb Hazra, President and CEO of Quantinuum.
“Deploying Helios inside OCI gives Quantinuum and Oracle an opportunity to create a unique deeply integrated environment for hybrid workloads, explore enterprise use cases with customers, and accelerate commercial adoption.”
Mahesh Thiagarajan, Executive Vice President of Oracle Cloud Infrastructure, echoed the sentiment from the cloud provider’s perspective: “AI has changed what organisations can imagine, and we believe quantum computing can expand what they’re able to solve. By bringing Quantinuum’s Helios to Oracle Cloud Infrastructure, we want to give developers a practical and secure way to explore how quantum computing could complement their existing AI and HPC workloads.”
As the quantum computing industry moves from laboratory demonstrations toward enterprise-grade deployments, partnerships that embed quantum hardware within established cloud ecosystems may prove to be the model that finally bridges the gap between promise and practical adoption.
