(Incorporated in Delaware) 

We are a developer of quantum computing systems and software, carved out of Honeywell and intended to commercialize quantum technology for enterprise and government use. 

Quantinuum was formed in 2021 through the combination of Honeywell Quantum Solutions and Cambridge Quantum, uniting innovative quantum hardware expertise with advanced quantum software capabilities. As a controlled affiliate of Honeywell, we inherited discipline and a culture of execution while benefiting from world-class infrastructure, supply-chain relationships and management expertise. Honeywell has served as both a testing ground for our tools and as an early customer, deploying our solutions in its products. Honeywell has indicated its intent to remain a strategic customer and partner following this offering.

Quantum computing is quickly evolving from research to early commercial adoption to address the insatiable need for computing power in the digital age. Even as classical computing continues to advance in energy-efficient performance, the huge computational demands of new applications such as artificial intelligence (“AI”) are making it challenging for classical computing to keep pace. Quantum computing is a fundamentally different approach that allows us to solve entirely new classes of problems in a resource-efficient manner. 

We believe the future of computing will be inherently hybrid, combining classical compute (i.e., CPUs), accelerated compute (i.e., GPUs) and quantum compute (i.e., QPUs). In this architecture, quantum computing will become a foundational layer for solving classes of problems that are fundamentally difficult for classical and accelerated systems alone. We view quantum computing not as a standalone replacement for classical systems, but as a new foundational layer within a hybrid computing stack. In this model, workloads are dynamically orchestrated across computing systems to ensure optimal execution, enabling each class of problem to be solved on the most appropriate computing substrate. Our quantum systems have been designed from the ground up with this hybrid framework in mind. We are already exploring protocols in which our quantum systems will generate data that is subsequently used by AI models to learn and guide the generation of additional data—creating a closed‑loop feedback system that accelerates discovery across multiple domains. Critically, unlike classical systems, our QPUs produce data that is extremely difficult—if not impossible—to produce classically. This confers a unique advantage: rather than training AI models on data that is broadly available or incrementally derived, we provide novel, high‑value data that would otherwise be prohibitively expensive or altogether unattainable. This capability is driven by our QPU’s ability to accurately model highly complex chemical and physical systems, unlocking insights beyond the reach of traditional computing approaches.

Our strategy is hardware-led and software-enhanced, delivering high-accuracy quantum hardware with co-optimized middleware and applications to enable customers to design and implement solutions. Our middleware tools for quantum software developers, like the high-level quantum programming language, Guppy, are designed to make writing and executing quantum programs easy, enabling customers to build high-value solutions. We believe that our software tools across multiple platforms significantly lower the adoption hurdle in application development while creating loyalty to Quantinuum’s platform. We expect that our full-stack offerings, including applications, will help us capitalize on early commercial value as quantum technology is deployed across industries, while preserving significant flexibility to capture value as the industry moves up stack.

Note: Net loss and revenue are for the 12 months that ended Dec. 31, 2025.

(Note: Quantinuum filed its S-1 for its IPO on May 8, 2026, without disclosing the terms. Estimated proceeds are $100 million, a placeholder figure. Some IPO pros believe that Quantinuum’s IPO could raise about $1 billion to up to $1.5 billion.)