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Aramco Installs Middle East’s First Industrial Quantum Computer
Saudi Arabia brings quantum hardware into day-to-day energy work, pushing the tech from theory to field use.
Aramco has switched on the Middle East’s first industrial quantum computer at its Dhahran data center, a direct move to fold advanced computing into upstream and downstream operations. The machine — built with French firm Pasqal — is the startup’s most powerful system yet and the first in the region intended for real industrial workloads rather than lab trials.
The rollout sits inside Aramco’s wider digital shift. Ahmad O. Al-Khowaiter, Executive Vice President of Technology & Innovation, said quantum fits the company’s push to modernize core operations. “We are deploying AI and other technologies at scale to further enhance our operations, maximize efficiency and unlock value across our business,” he said.
Pasqal’s unit uses 200 neutral-atom qubits arranged in programmable two-dimensional arrays. That opens room for optimization and simulation work that stretches classical hardware. Aramco is targeting subsurface modelling, materials research and logistics planning — areas where marginal improvements can reshape high-volume industrial processes.
For Pasqal, the installation signals a foothold in a market aligned with Saudi Arabia’s Vision 2030. CEO Loïc Henriet called it “a historic milestone,” adding, “The deployment of our most powerful quantum computer yet is a piece of history and a landmark for the Middle East’s quantum future”.
Also Read: IBM Unveils Nighthawk And Loon Quantum Chips
The companies have been working together for several years. Wa’ed Ventures, Aramco’s VC arm, backed Pasqal early in 2023 and helped the firm build a presence in the Kingdom. Training programs and joint research tracks are planned, giving Saudi engineers access to live quantum hardware — a rarity even in mature tech markets.
Unlike many quantum setups still locked in academic roles, the Dhahran machine is meant for immediate testing and decision-making in industrial and high-end environments. Aramco aims to probe quantum-driven optimization, computational chemistry and predictive models, hoping to spot practical gains long before fault-tolerant systems arrive. The move places the Kingdom among a small set of countries exploring quantum tools on strategic industrial workloads.
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Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics
Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
