Quantinuum and Oracle have announced a multi-year strategic partnership to deploy Helios, Quantinuum’s third-generation quantum computer, inside a US-based Oracle Cloud Infrastructure (OCI) AI data centre.
The companies said OCI customers will be able to access Helios as a quantum service alongside existing high-performance computing and GPU infrastructure, creating an environment designed for hybrid quantum-AI workloads. Oracle plans to preview the service in the coming months.
Quantum Moves Into the Cloud Stack
The partnership places quantum computing alongside the cloud and AI infrastructure enterprises already use.
Quantinuum said Helios has been designed for hybrid integration with classical HPC and AI environments. Under the planned deployment, customers would be able to use cloud-hosted quantum computing without installing specialist hardware or facilities of their own.
The system builds on Quantinuum’s trapped-ion architecture, which the company says has reached high levels of operational fidelity in recent demonstrations.
Quantinuum has reported that its 98-physical-qubit system has been used in experiments involving up to 48 logical qubits, and has achieved an average two-qubit gate fidelity of 99.921%, exceeding the commonly referenced “three nines” (99.9%) threshold for gate accuracy.
Those figures are typically cited as indicators of progress towards more reliable error-corrected quantum computation, rather than evidence of fully fault-tolerant systems.
“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 at Quantinuum.
He added that deploying Helios inside OCI would give the companies an opportunity to create a more deeply integrated environment for hybrid workloads, explore enterprise use cases and support commercial adoption.
Hybrid Workloads Take the Lead
Quantinuum and Oracle said the partnership would explore applications across materials discovery, drug development, logistics, energy, financial modelling, and AI.
Rather than presenting quantum as a standalone system, the companies positioned it as a complementary resource within hybrid infrastructure, operating alongside AI and HPC workloads.
“AI has changed what organisations can imagine, and we believe quantum computing can expand what they’re able to solve,” said Mahesh Thiagarajan, Executive Vice President at Oracle Cloud Infrastructure.
He said the planned service was intended to give developers a practical way to explore how quantum computing could complement existing AI and HPC workloads on OCI.
The planned OCI service is also expected to combine Quantinuum’s development stack with support for open-source hybrid programming frameworks, allowing developers to move between simulation and execution on quantum hardware.
Commercial Momentum Gives the Deal a Wider Context
The Oracle announcement came alongside Quantinuum’s second-quarter results, giving the partnership a clearer commercial backdrop.
The company reported £5.9 million ($8 million) in second-quarter revenue, up 279% year over year from £1.4 million ($2 million) in the same period of 2025. It also reported £1.5 billion ($2.1 billion) in cash and cash equivalents and short-term investments at the end of June.
Quantinuum set its first formal guidance as a public company, forecasting 2026 revenue of between £20.7 million ($28 million) and £23.7 million ($32 million). The company also reported a GAAP net loss of £442 million ($597 million) for the quarter and an adjusted earnings before interest, taxes, depreciation, and amortisation (EBITDA) loss of £50.3 million ($68 million). In the prior year period, the figures were a GAAP net loss of £42.2 million ($57 million) and an adjusted EBITDA loss of £31.8 million ($43 million).
Hazra said the results reflected “accelerating commercial momentum” alongside continued investment in research, manufacturing, and its developer ecosystem.
The figures remain those of an early commercial-stage quantum company, but they provide a more concrete business context for a partnership aimed at extending enterprise access to its hardware.
The Cloud Deployment Fits a Wider Roadmap
The Oracle partnership has followed a joint white paper published by Quantinuum and SoftBank in July, which explored how specific quantum workloads could become commercially viable at different stages of hardware maturity.
The paper mapped quantum chemistry and topological data analysis against Quantinuum’s hardware roadmap and argued that commercial adoption would be staged rather than dependent on a single future threshold. It positioned Helios alongside later generations including Sol, due in 2027, and Apollo, scheduled for 2029.
The white paper also described a longer-term model of “quantum AI data centres,” in which quantum processors operate alongside AI and high-performance computing infrastructure rather than as separate systems.
This context helps explain the Oracle deployment. The partnership is not evidence that fault-tolerant quantum computing has arrived, but it does show how Quantinuum intends to make current-generation systems accessible within the infrastructure environments enterprises already use.
Quantum Enters a More Familiar Adoption Model
The Quantinuum-Oracle partnership marks another step towards bringing quantum computing into mainstream cloud infrastructure.
Helios will remain a specialised computing resource, and the planned OCI quantum service is still subject to future product development. But placing it alongside GPUs, HPC systems, networking, storage, and enterprise identity controls gives organisations a more familiar way to experiment with hybrid workloads.
For Quantinuum, the announcement also links its hardware roadmap with a distribution model capable of reaching a wider enterprise audience.
The broader significance is not that quantum has become a conventional cloud workload overnight. It is that the infrastructure, access model, and commercial framework around it are beginning to look more familiar.


