Quantum Computing Infrastructure Enters Saudi Industrial Operations

Aramco and Pasqal have deployed a quantum computing system and associated cloud access platform in Saudi Arabia, aimed at industrial use cases in energy, materials science, logistics, and optimisation-intensive operations. The deployment combines on-premise quantum hardware with remote access infrastructure, allowing internal and external users to develop and test quantum computing workflows.

Technical cooperation for industrial quantum deployment
The collaboration brings together Aramco’s industrial operations expertise, infrastructure, and application development requirements with Pasqal’s quantum hardware and software stack. The system is installed at Aramco’s data centre in Dhahran, where it operates as both an internal computational resource and an externally accessible Quantum Computing as a Service platform.

The cooperation addresses a common industrial computing challenge: certain optimisation and simulation problems, particularly combinatorial scheduling, materials modelling, and multi-variable infrastructure planning, become computationally expensive using classical architectures alone. Quantum-hybrid computing approaches are being explored as complementary tools for these workloads.

Aramco acts as the foundational industrial user, defining operational use cases and integrating quantum workflows into relevant business programmes. Pasqal provides the quantum processing hardware, control systems, and cloud software environment.

Quantum system architecture and technical roles
The deployed system uses a neutral-atom quantum processing unit with 200 programmable qubits. Neutral-atom quantum computing architectures encode qubits using individually controlled atoms manipulated with laser systems, a design approach suited to programmable quantum simulation and optimisation workloads.

Pasqal is responsible for the quantum processing unit, cloud software access layer, and operational support for the computing environment. Aramco provides hosting infrastructure, secure data centre integration, industrial workload definition, and application validation.

The cloud-based access architecture allows remote users to submit workloads through a secure interface while the hardware remains physically hosted in Saudi Arabia. This enables external research institutions, enterprise users, and universities to access the system without local hardware deployment.

Industrial implementation and integration
Initial deployment occurred in November 2025, with the current phase marking transition into formal operational use. Integration has taken place within Aramco’s existing digital infrastructure, enabling quantum experimentation alongside conventional computing workflows.

The cooperation appears structured around phased industrial validation rather than immediate standalone production replacement. This reflects the current maturity level of industrial quantum computing, where hybrid architectures combining classical optimisation methods with quantum routines remain the practical deployment model.

Use cases under development include port logistics optimisation, carbon dioxide storage modelling, drilling well placement analysis, and rig scheduling. These applications involve large constraint-based optimisation problems where solution quality, convergence speed, or scenario exploration may benefit from quantum-assisted methods.

Regional digital infrastructure implications
The deployment expands quantum computing infrastructure availability within the Middle East, where access to commercial quantum hardware has been limited. For industrial users, proximity-hosted infrastructure may support lower network latency, data governance control, and regional research collaboration.

Aramco’s earlier investment relationship with Pasqal through Wa'ed Ventures, initiated in 2023, indicates the partnership extends beyond equipment procurement toward ecosystem development, including workforce capability building and applied quantum engineering research.

Edited by Aishwarya Mambet, Induportals Editor, with AI assistance.

www.aramco.com