Chemical firms in Taiwan to test Classiq’s quantum software

Kensho will introduce Classiq’s quantum software platform to government agencies, research institutions, and enterprises across Taiwan through a new market development partnership. The collaboration focuses initially on serving chemical and materials companies, as well as defense organizations seeking to apply quantum computing to simulation and optimization challenges.

“Taiwan is gradually gaining access to more quantum hardware, but hardware alone is not enough to build practical applications,” said Fu-Hsin Hsiao, Chairman of Kensho. “Classiq provides the software layer needed to transform domain expertise into quantum programs, enabling us to offer customers a complete path from technology evaluation to application development.” Classiq’s software automatically converts models into quantum circuits, allowing deployment across different hardware and cloud environments.

Kensho and Classiq Partnership Expands Quantum Software Access in Taiwan

This targeted approach reflects a strategy to address specific industry challenges with emerging quantum capabilities, moving beyond broad technology exploration. Kensho’s established network in advanced semiconductor equipment distribution provides a pre-existing infrastructure for introducing and supporting these complex technologies to Taiwanese enterprises. The partnership anticipates supporting organizations in developing internal quantum expertise and identifying practical applications, particularly in materials research and complex optimization problems.

Nir Minerbi, co-founder and CEO of Classiq, emphasized the strength of Taiwan’s technological base, stating, “Taiwan has strong semiconductor expertise, advanced research capabilities, and a growing demand for new computing technologies.” Kensho understands the local technology environment, and together we will provide trusted local support to help customers develop quantum software with cross-platform portability. This collaboration aims to bridge the gap between increasing access to quantum hardware in Taiwan and the necessary software tools to utilize it effectively.

Classiq’s platform automatically translates high-level models into optimized quantum circuits, allowing for flexible deployment across diverse quantum hardware and cloud environments, which is a key advantage in a rapidly evolving field. Kensho’s involvement extends beyond simple distribution; the company co-organized the Q2T Taiwan Quantum Computing Forum in March 2026 with the Institute for Information Industry (III), bringing together international and local experts to foster collaboration and knowledge exchange, Classiq says.

Kensho’s commitment to “Delivering superior service quality to meet the high expectations of our customers” underscores its role as a trusted partner in introducing and supporting this new technology. The companies plan to showcase their combined offering at SEMICON Taiwan 2026, arranging meetings between Classiq’s platform demonstrations and potential local customers.

Taiwan is gradually gaining access to more quantum hardware, but hardware alone is not enough to build practical applications.

Nir Minerbi, co-founder and CEO of Classiq
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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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