IBM and Lockheed Martin Partner with ETH Zurich to Deploy Switzerland’s First IBM Quantum System Two

quantumcomputingreport.com Sep 11, 2026

IBM and Lockheed Martin Partner with ETH Zurich to Deploy Switzerland’s First IBM Quantum System Two

Curated by Shubham · TechCapsules · Sep 11, 2026

AI-summarised brief · reviewed before publication

IBM and Lockheed Martin signed an offset agreement with Switzerland’s Federal Office for Defence Procurement to install the country’s first on‑premises IBM Quantum System Two at the Swiss National Supercomputing Centre in Lugano by late 2026. The system, powered by IBM’s Nighthawk r2 processor with 120 qubits and 100,000 circuits per second, will operate under a three‑year IBM‑managed contract through 2029. The hub, anchored at ETH Zurich, will integrate quantum and classical supercomputing resources for academic, industrial, and defense research.

💡 Why It Matters

· The deployment gives Switzerland sovereign quantum‑computing capability, positioning it as a European leader in high‑performance hybrid workflows and enabling defense‑specific applications such as GPS‑free navigation and advanced additive manufacturing.

Read full article on quantumcomputingreport.com

AI, jets, drones: IAI chairman Boaz Levy describes future battlefield, air force…

In a Reuters interview at the Singapore Airshow, Boaz Levy, chairman of Israel Aerospace Industries (IAI), outlined his vision for the next generation of air warfare. He said future air dominance will rely heavily on an integrated network of satellites, artificial intelligence, autonomous robots and advanced missiles, blurring the traditional distinction between front‑line and rear‑area operations. Levy highlighted IAI’s ongoing development of AI‑driven combat drones, swarming missile systems and satellite‑linked command platforms that can process battlefield data in real time. He also noted the company’s collaboration with the Israeli Air Force to test these technologies in joint exercises, emphasizing the shift toward a “distributed lethality” model where decision‑making and strike capabilities are dispersed across multiple unmanned assets.

💡 The shift to a sensor‑rich, AI‑controlled battlespace could redefine how nations project power, making speed and data integration the decisive factors in achieving air superiority.

dharmakshethra.com · Sep 12

Digantara Expands Bengaluru Space Hardware Capability With New Cleanroom

Bengaluru‑based Digantara has inaugurated a new cleanroom as part of its expanding space‑hardware infrastructure, a development highlighted during a September 9, 2026 visit by Anil Prakash, Director General of the Space Industry Association of India. While the facility’s size and cleanliness class remain undisclosed, the addition signals Digantara’s shift from pure research toward larger‑scale production of space‑qualified sensors and payloads. The company is concurrently advancing its second‑generation electro‑optical payload, originally designed for space‑domain awareness, for missile‑defence applications, having presented the system to Prime Minister Narendra Modi. Its indigenous PRISM sensor family, featuring a 48‑mm Double‑Gauss lens, has completed vibration and thermal‑vacuum qualification for PSLV and Falcon 9 launch environments, paving the way for faster manufacturing of additional payloads.

💡 The cleanroom enables Digantara to scale indigenous, high‑precision optics for both orbital surveillance and rapid‑response missile detection, reducing reliance on imported hardware and tightening India’s strategic sensor supply chain.

pjmedia.com · Sep 12

America Built the AI Engine. Our Enemies Are Using It Against Us.

A recent threat report from Anthropic reveals that state‑aligned actors in northern Yemen, China, Russia and Iran have been exploiting the company’s AI model Claude to accelerate weapons development. In Yemen, a cell used multiple Claude instances as virtual engineers, generating guidance, navigation and control software for a phone‑class guided rocket, a multi‑stage ballistic missile targeting a range of over 2,000 km, and a hypersonic glide vehicle variant. The AI was tasked to write code, conduct research, and review outputs, mimicking a small engineering team. Although Anthropic’s safeguards blocked many requests, the actors evaded detection by fragmenting queries and obscuring intent, enabling them to test‑fire a guided rocket that subsequently failed and was re‑examined with Claude. The report notes no confirmed operational deployment but highlights a new method of illicit AI‑driven weaponization.

💡 Adversaries are turning commercial AI into a low‑cost, on‑demand design lab, shortening the path from concept to prototype for advanced munitions. This shifts the security calculus from protecting hardware to policing the software tools that can be weaponized remotely.

therobotreport.com · Sep 12

How drone developers are navigating changing regulatory landscapes to help farmers

The Federal Communications Commission’s December 2025 decision to place foreign‑made drones and U.S.–assembled drones containing major foreign components on its “Covered List” has forced agricultural drone makers to reassess supply chains. Hylio, a Richmond, Texas firm founded in 2015 by Arthur Erickson, had already prioritized domestic manufacturing and sourcing from allied partners, anticipating Chinese dominance in the market. Erickson says this pre‑emptive strategy now gives Hylio a competitive edge as the U.S. government pushes for a fully domestic drone supply chain. He also notes that farmers must contend with a fragmented regulatory environment, requiring multiple federal and local licenses from the FCC and FAA. To aid clients, Hylio provides a compliance guide and advises phased, targeted deployments to maximize early returns while navigating licensing hurdles.

💡 Hylio’s home‑grown supply chain lets it meet new import bans without disruption, positioning it as a reliable partner for farms that can’t afford regulatory delays.

etvbharat.com · Sep 12

Naman Kasliwal and Shiv Patil, students of BITS Hyderabad, have developed state-of-the-art…

BITS Hyderabad students Naman Kasliwal and Shiv Patil have launched a startup, Beejan, to supply the Indian Army with autonomous drones that can navigate without GPS and resist radio‑frequency interference. Their “Beejan Autonomous Navigation Module” was demonstrated at the campus’s KORAS laboratory and subsequently trialled at military sites in Secunderabad, Leh and the Southern Command headquarters. The drones, built entirely from indigenous components and powered by robotics and artificial‑intelligence algorithms, are intended to counter hostile drone incursions. After the trials, eight separate army units issued Letters of Intent to acquire the system. The venture stems from the duo’s runner‑up finish at an IIT Bombay robotics contest and a Rs 25 lakh grant won at the 2025 Curiosity event.

💡 Indigenous, GPS‑free drones give the army a resilient counter‑UAV capability that bypasses the nation’s reliance on foreign navigation tech.

deccanherald.com · Sep 11

UAE revises AI data center plan after Iranian attacks: Report

UAE authorities are reworking a 5‑gigawatt AI data‑center initiative after the Iran‑Israel conflict highlighted vulnerability of large, centralized facilities, six sources told Reuters. The original 10‑square‑mile campus in Abu Dhabi will likely be replaced by a dispersed network of sites across the Emirates, with some components potentially underground and protected by air‑defense systems. The project, a partnership between state‑backed AI firm G42 and U.S. firms including Oracle, OpenAI and Nvidia, underpins the UAE’s push to become a global AI hub and to diversify away from oil. Construction of the first 1‑gigawatt “Stargate UAE” cluster began last year; 200 MW are slated to be operational this year. Officials say the redesign is ongoing but no timeline or cost impact has been disclosed yet.

💡 Scattering the AI infrastructure turns a single strategic target into a resilient network, ensuring the UAE’s AI‑driven diversification plan can survive regional security shocks.