Oracle and Quantinuum have announced a multi-year partnership to integrate Quantinuum’s quantum computer (Helios) into Oracle’s cloud platform. The deal is designed to give Oracle Cloud Infrastructure (OCI) customers access to Quantinuum’s Helios quantum system alongside OCI’s high-performance computing (HPC) and GPU resources. Helios is expected to be deployed in a U.S. OCI data center as part of Oracle’s planned “quantum service” preview.
Quantinuum CEO Rajeeb Hazra put it this way: the next phase of enterprise computing will come from “bringing quantum, AI and high-performance computing together”.
Under the agreement, OCI customers will be able to access Quantinuum’s Helios quantum computer through OCI’s quantum service. With this, developers can combine Helios’s quantum capabilities with OCI’s GPUs and classical HPC instances under the same cloud governance and security model.
[ALSO READ: Oracle Partners with APSSDC to Empower 400,000 Students in Andhra Pradesh with Cutting-Edge Digital Skills Training ]
Main points from the announcement comprise:
- Integration with Oracle Cloud: Helios will run inside OCI, using Oracle’s compute, networking and storage infrastructure. Oracle says this on-premises deployment will integrate flawlessly with the OCI services customers already use.
- Hybrid quantum–AI focus: Oracle and Quantinuum plan to support use cases that span AI, HPC and quantum computing. Their joint statement emphasizes “addressing some of the most computing-intensive challenges facing enterprises” via hybrid quantum–AI infrastructure.
- Upcoming service preview: Oracle expects to preview its OCI quantum service in the coming months, combining Quantinuum’s software stack with open-source hybrid-programming tools. This service will let developers move from simulation to execution on the real Helios hardware.
Although this announcement is largely infrastructure-focused, it signals Oracle’s intent to offer quantum computing as part of its cloud portfolio, much as it now offers GPUs and specialized AI chips. The partnership is not about Oracle building its own quantum chips; it’s about giving Oracle’s customers a practical way to use quantum processors alongside their existing cloud workloads.
Why cloud-based quantum access matters
Quantum computing hardware is fundamentally different from classical servers. It cannot simply replace conventional CPUs or GPUs for general tasks. Instead, most enterprise users will employ quantum processors for specific subroutines within larger workflows.
For example, a pharmaceutical company might use quantum simulation to model a molecule’s properties, but still rely on classical compute for data I/O, orchestration and less demanding calculations.
Through integrating Helios into the cloud, Oracle is betting on a hybrid model of quantum computing. In practice, an enterprise application would run mostly on OCI’s classical infrastructure, and dispatch quantum sub-tasks to Helios as needed. This is similar to how many organizations use GPUs today: heavy AI or graphics workloads run on GPUs, while the rest of the application runs on standard CPUs.
To be useful at scale, quantum processors must be used in concert with classical systems. IBM, for instance, has outlined a “quantum‑centric supercomputing” architecture that combines QPUs with CPU/GPU clusters and high-speed networking.
Amazon, through its Braket service, sees quantum processors as “another tool in the toolbox” of cloud compute, to be accessed alongside HPC and AI resources. Microsoft’s Azure Quantum similarly positions QPUs as part of a larger cloud and HPC ecosystem (see sidebar below).
The Oracle–Quantinuum deal acknowledges this reality. As Quantinuum’s CEO said, deploying Helios on OCI creates “a unique deeply integrated environment for hybrid workloads”. And as IDC analyst Heather West noted, placing quantum systems “within private cloud environments” makes it easier for enterprises to embed quantum into existing AI and HPC workflows, lowering the barrier to adoption. In short, cloud-based access is how most organizations will experience quantum computing in practice.
Helios: Quantinuum’s flagship quantum computer
Quantinuum (formed from Honeywell Quantum Solutions and Cambridge Quantum) introduced Helios in late 2025 as a third-generation trapped-ion quantum computer.
Key specifications of Helios are relevant to understanding the partnership:
- 98 physical qubits: Helios contains 98 fully connected barium-ion qubits in a QCCD (quantum charge-coupled device) architecture. It features novel engineering (an “ion junction” and rotating ion ring) that allow all-to-all connectivity and parallel operation.
- Gate fidelity: Helios achieves extremely high gate accuracy—single-qubit gates with 99.9975% fidelity and two-qubit gates at 99.921%. In practical terms, that means its error rates are lower than many competitors (and exceed the “three nines” threshold often cited as a benchmark). Quantinuum touts Helios as “the most accurate commercial quantum computer”.
- Logical qubits: In demonstrations, Helios has run circuits involving up to 48 error-corrected (logical) qubits. Its architecture and control allow the implementation of multi-qubit error-correction codes. (For context, researchers at Microsoft and Quantinuum used an earlier Quantinuum system to create 12 error-corrected qubits for a chemistry simulation.)
- Energy efficiency: Quantinuum notes that Helios uses about 60 kW of power when running, compared to tens of megawatts for top-end supercomputers. In other words, Helios consumes under 1% of the energy of a leading traditional supercomputer for comparable tasks (as per Quantinuum’s cited analysis). This energy efficiency is often cited as a potential advantage of quantum hardware.
[ALSO READ: IBM to Acquire HRL Laboratories to Advance Quantum Computing Strategy ]
The deal gives Quantinuum a major new channel for Helios. Operating via OCI means enterprises can experiment with Helios without having to set up their own facilities. It follows Quantinuum’s strategy of partnering widely: the company has existing collaborations with Microsoft (for logical qubits in Azure), with HPE (for quantum+HPC integration), and with others like BMW and Rolls-Royce in research projects.
