Oracle announced it will install Quantinuum's Helios quantum computer inside its cloud infrastructure and make it available to enterprise customers through a planned Oracle Cloud Infrastructure (OCI) quantum service designed for hybrid quantum-AI workloads. The companies revealed a multi-year partnership that will see Helios deployed in a US-based OCI AI data center, where it will support hybrid quantum-AI workloads delivered as a cloud service. Oracle said it plans to preview the OCI quantum service in the coming months.
The arrangement will allow OCI customers to tap into the Helios system alongside their existing GPU and high-performance computing resources. Helios, Quantinuum's third-generation quantum computer, uses a 98-physical-qubit trapped-ion architecture and has been used in demonstrations involving 48 logical qubits. A single Helios system has an estimated power draw of less than one percent of the draw reported for leading supercomputers, positioning it as a lower-power complementary resource for suitable hybrid workloads. By operating within OCI's infrastructure, Helios is anticipated to integrate seamlessly with existing OCI compute, networking, storage, identity, and data services under the same governance and access controls customers already use.
The companies said in a joint statement that customers will "gain managed, secure access to cloud-hosted quantum computing without having to procure, install, or operate dedicated hardware or specialized facilities." The planned OCI quantum service will allow developers to move from simulation to execution on quantum hardware, combining Quantinuum's development stack with support for open-source hybrid programming frameworks that enable building and testing quantum-classical applications. Quantinuum President and CEO Dr. Rajeeb Hazra said deploying Helios inside OCI gives the companies "an opportunity to create a unique and deeply integrated environment for hybrid workloads, explore enterprise use cases with customers, and accelerate commercial adoption." The partnership will explore enterprise, AI lab, academic, and research applications.
Charlie Dai, vice president and principal analyst at Forrester, said the integration lowers access barriers by embedding quantum computing into existing enterprise environments, embedding quantum into existing cloud governance, security, and AI/HPC workflows. However, he noted this shift doesn't materially change adoption timelines, with most organizations remaining in the proof-of-concept phase and production quantum advantage still limited to a narrow set of problems. The platform could support applications across drug discovery, materials science, financial modeling, and large-scale optimization, including AI workloads. The partnership reflects a shared view that combining quantum computing with AI and classical systems could help address computational challenges that are difficult to solve using conventional approaches alone.
Dai advised CIOs to treat hybrid quantum-classical workloads as a long-term capability-building exercise rather than a near-term ROI driver, noting that for most enterprises, the business case today centers on capability building rather than measurable operational ROI. Near-term value is likely to come from areas such as algorithm development, workforce readiness, and targeted research in optimization, materials science, and drug discovery. Oracle's move aligns with broader quantum-as-a-service strategies from other hyperscalers, and while the integration strengthens the developer environment, enterprise adoption remains focused on experimentation rather than broad production deployment. The quantum-cloud integration represents a bet that making advanced computing accessible through familiar enterprise tooling will unlock commercial viability, though the transition from laboratory promise to boardroom priority remains a journey measured in years rather than quarters.