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IBM Unveils Nighthawk And Loon Quantum Chips
The company’s new processors push toward practical quantum advantage with two divergent chip designs.
IBM has released a pair of quantum chips — Nighthawk and Loon — that the company hopes will give it a credible shot at demonstrating the quantum advantage over regular processors. The designs split into two directions, with the Loon chip being the more experimental of the pair.
Nighthawk is IBM’s main bet. The chip is a 120-qubit version that’s due for distribution to partners in late 2025, using 218 tunable couplers in a square lattice to tighten control over qubit interactions. IBM says the layout will let it “execute circuits with 30 percent more complexity” and run problems that require up to 5,000 two-qubit gates. The company wants this line to mature quickly enough to power its first verifiable advantage claim.
Loon goes off the conventional path. Instead of keeping qubits on a flat plane, it links them vertically as well. New Scientist has flagged the design as an early test of 3D quantum layouts — an attempt to reduce errors by giving qubits more routes to talk to each other. It’s not aimed at near-term rollout but could shape future rigs if the approach holds.
The split strategy underlines IBM’s view that smart connectivity, not headline qubit counts, will decide who reaches the next milestone. Google, on the other hand, is leaning another way: Its Willow chip, paired with the “Quantum Echoes” algorithm, has already been presented as a proof point for “the first-ever verifiable quantum advantage running the out-of-order time correlator (OTOC) algorithm”.
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IBM is also backing a community-run quantum advantage tracker with Algorithmiq, the Flatiron Institute and BlueQubit. The framework “supports three experiments for quantum advantage across observable estimation, variational problems, and problems with efficient classical verification,” and IBM is pushing researchers to contribute.
For MENA labs building quantum and HPC programs under national digitalization efforts, the contrast between Nighthawk and Loon offers a clearer view of where the hardware race may bend next — tight, lattice-driven control on one side; a stab at 3D connectivity on the other.
The field is moving fast, and IBM’s twin quantum chips mark its next swing at staying in the fight.
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.
