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Saudi Researchers Use Quantum Computing To Design More Efficient Airplanes
To build its quantum expertise, KAUST has partnered with Zapata Computing, a quantum software company based in Boston, Massachusetts.
It’s estimated that air travel produces roughly two percent of all greenhouse gas emissions. That alone is a good enough reason to explore innovative designs and create more efficient airplanes, but there’s also the fact that airlines operate on very slim margins, so every bit of fuel they manage to save can go a long way in helping them make more profit.
While computers have been helping engineers and designers optimize the aerodynamic properties of airplanes for decades, researchers at King Abdullah University of Science and Technology (KAUST) are the first to explore the absolute cutting edge of what is currently possible in science and engineering by using quantum computing.
Unlike regular computers, which can, at the most fundamental level, represent only two states using transistors (0 = off, 1 = on), quantum computers can be in a 1 or 0 quantum state, or in a superposition of the 1 and 0 state, which essentially means that they can be on and off at the same time. This allows them to represent all possible system states simultaneously, massively speeding up certain specialized computations.
To build its quantum expertise, KAUST has partnered with Zapata Computing, a quantum software company based in Boston, Massachusetts. Zapata will provide its Orquestra toolset, which promises to greatly simplify the process of conducting research in quantum computing.
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“Quantum computing is still very novel, but it’s going to be a truly disruptive technology that will provide enormous cross-industry opportunities,” said Matteo Parsani, Assistant Professor of Applied Mathematics and Computational Science at KAUST. “Building a knowledge base of quantum expertise at KAUST in the interdisciplinary field of computational fluid dynamics can only be a good thing both for the university and for the Kingdom.”
The potential of quantum computing to accelerate progress the same way traditional computers have is truly immense, but the technology is still in its infancy, and it may take researchers some time to produce useful results. Hopefully, the team at KAUST will be able to design more efficient airplanes taking us further in a cleaner fashion.
News
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.
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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.
