SDT will manufacture IonQ’s quantum memory in South Korea

IonQ will supply Korea’s SDT with its Superion 256 quantum computer and silicon-vacancy quantum memory module, marking a first step in expanding the US firm’s hardware presence in the Asia-Pacific region. The multi-year partnership moves beyond software integration to establish a dedicated quantum manufacturing and system-integration facility in Gumi, South Korea, where IonQ’s SiV quantum memory will be packaged and produced.

“Demand for our new Superion 256 system is growing globally,” said Niccolo de Masi, Chairman and CEO of IonQ. SDT intends to use the system with a customer in South Korea and collaborate on a hybrid quantum-classical data center.

IonQ’s Superion 256 and SiV Memory Fuel SDT’s South Korea Expansion

Gumi, South Korea will soon host packaging and manufacturing operations for IonQ’s silicon-vacancy (SiV) quantum memory, establishing a dedicated facility central to the company’s supply chain and regional deployment strategy. This expansion marks a significant escalation of the partnership with SDT, moving beyond cloud-based software integration toward physical hardware production and assembly within the Asia-Pacific region.

“This purchase equips SDT with the building blocks for both high-performance quantum computing and quantum data centers of the future.” Beyond the initial computer deployment, SDT’s Gumi facility will focus on assembling IonQ quantum systems and pursuing opportunities to manufacture additional quantum components, effectively becoming a regional hub for IonQ’s hardware. Jiwon Yune, CEO of SDT, stated, “IonQ leads the global quantum industry in both technology and manufacturing innovation.” SDT’s ambitions also include a separate in-country cancer center project, where the companies intend to build hybrid quantum-classical infrastructure for medical and biomedical research.

This project uses IonQ’s quantum computing capabilities with SDT’s expertise in data integration and analysis, aiming to accelerate advancements in healthcare applications. IonQ’s existing Korean partnerships with KISTI, SK Telecom, Hyundai Motor Company, Seoul National University, and Sungkyunkwan University further demonstrate a growing regional commitment, now amplified by this deepened collaboration with SDT and the establishment of a physical manufacturing presence.

Demand for our new Superion 256 system is growing globally, and this agreement in Asia Pacific is yet another example of our clients combining IonQ’s leading quantum computers with our quantum networking and quantum memory solutions.

Niccolo de Masi, Chairman and CEO of IonQ
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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