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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”.
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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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Deezer Says AI Tracks Now Make Up 44% Of Uploads
The streamer says nearly 75,000 AI-made songs now hit its platform each day, even as those tracks account for just 1% to 3% of plays.
AI-generated music is becoming a real headache for music platforms, according to Deezer. The streaming service says it now receives nearly 75,000 AI-made tracks a day, equal to about 44% of all daily uploads to the platform.
The figure is up sharply from 10,000 daily AI uploads when Deezer launched its detection tool back in January 2025. The jump shows how quickly products such as Suno and Udio have made song creation cheap, fast, and easy to scale.
Despite the volume, Deezer says AI tracks still only account for 1% to 3% of total streams. The music gets few human listeners, but upload pressure is rising. The company says it is also seeing more “fraudulent” submissions.
Its response so far has been practical. Deezer has removed AI-generated songs from recommendation systems, demonetized them, and stopped storing high-resolution versions of those files.
The company also says it’s the only streaming platform currently tagging AI-generated tracks at scale, using that claim to position its moderation tools as a wider industry model.
“AI-generated music is now far from a marginal phenomenon and as daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to help safeguard artist’s rights and promote transparency for fans,” CEO Alexis Lanternier said in a blog post.
Deezer has started licensing the detection technology to other companies, turning an internal control system into a commercial product. It says the tool can already identify music created with Suno and Udio, and can be extended to other generators if training data is available.
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The company is also working on detection methods that would not require training datasets, a harder technical step that could widen coverage as new music models appear.
Rivals are taking mixed approaches. Spotify has rolled out policies aimed at curbing AI music. Apple Music is asking artists and labels to disclose AI-made tracks. Qobuz has begun automated labeling, while Bandcamp has banned AI music outright.
For now, Deezer’s numbers suggest the real issue is not listener demand. It’s supply.
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