LG CNS will use D-Wave’s quantum tech in South Korea and beyond

LG CNS and D-Wave publicly announced a strategic relationship on October 28, 2026, at D-Wave’s Qubits Asia conference in Seoul, with the goal of accelerating quantum computing adoption for enterprise optimization, the company says. The companies intend to combine D-Wave’s annealing quantum computing technologies with LG CNS’s industry expertise, mathematical optimization capabilities and systems integration experience to develop applications for customers in manufacturing, telecommunications, finance and retail.

Hyun Shin-Gyoon, CEO of LG CNS, said that quantum technology must be supported by a deep understanding of industries and strong optimization capabilities to generate meaningful results in industrial settings, as the companies intend to move applications from proof of concept into production.

D-Wave and LG CNS Partnership for Quantum Optimization in South Korea

LG CNS plans to integrate D-Wave’s quantum computing technology into solutions for clients in manufacturing, telecommunications, finance and retail, representing a focused initial approach to application development. This partnership aims to move beyond theoretical exploration and deploy applications that deliver quantifiable improvements for businesses. LG CNS brings substantial expertise in mathematical optimization to the collaboration, with capabilities spanning problem definition, modeling, validation and real-world implementation across multiple sectors, according to the company.

The company has already conducted research applying these techniques, alongside quantum computing, to challenges like image reconstruction and underground anomaly detection. Optimization problems, which underpin decisions from factory scheduling to delivery route planning, become exponentially more difficult as complexity increases. D-Wave’s annealing technology is designed to tackle these challenges, and existing customers are already using hybrid-quantum applications in production environments.

The collaboration intends to extend this capability to LG CNS’s client base, enabling them to reduce costs, improve efficiency and respond more rapidly to changing market conditions. Dr. Alan Baratz, CEO of D-Wave, said that D-Wave’s annealing quantum computing technology is driving positive business outcomes for customers today.

He added that LG CNS understands both the optimization problems enterprises need to solve and the systems those solutions must work within, and by combining that expertise with their technology, they intend to help enterprises in South Korea and beyond move from evaluating quantum computing to deploying applications that deliver measurable business value, the firm reports. The companies also plan to pursue joint go-to-market opportunities, suggesting a broader strategy to expand the reach of quantum optimization solutions beyond initial pilot programs. This collaboration represents a step toward commercializing quantum computing services, connecting the technology to practical customer needs and supporting new business ventures.

To generate meaningful results from quantum computing in industrial settings, quantum technology must be supported by a deep understanding of industries and strong optimization capabilities.

Hyun Shin-Gyoon, CEO of LG CNS
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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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