TLDR: Quantinuum has commercially launched Helios, touted as the world’s most accurate general-purpose quantum computer, designed to accelerate enterprise adoption of quantum computing. Helios features a first-of-its-kind real-time control engine, a new Python-based programming language called Guppy for hybrid computing, and integrates with NVIDIA’s GB200 processors. This system aims to enhance Generative AI models with quantum-generated data, unlocking new potentials in fields like drug discovery, finance, and advanced materials. Early collaborators include Amgen, BMW Group, JPMorgan Chase, and SoftBank Corp., with a new partnership also established with Singapore’s National Quantum Office.
Quantinuum, a global leader in quantum computing, announced on November 5, 2025, the commercial launch of Helios, a groundbreaking quantum computer positioned to usher in a new era of enterprise quantum adoption and significantly advance Generative Quantum AI (GenQAI). Described as the world’s most accurate general-purpose commercial quantum computer, Helios is engineered to accelerate the integration of quantum capabilities into various industries.
Helios boasts the highest fidelity among commercial systems and incorporates a pioneering real-time control engine. This innovation allows developers to program a quantum computer with a fluidity akin to programming heterogeneous classical computers. The system features 98 physical qubits, delivering an impressive 48 logical, error-corrected qubits, achieving a 2:1 ratio that industry experts consider unique and a significant leap forward in error correction.
A key component of the Helios platform is Guppy, a new, modern Python-based programming language. Guppy enables developers to seamlessly combine hybrid compute capabilities—quantum and classical—within a single program, facilitating dynamic quantum programs that can respond to results in real-time. This capability is further enhanced by its integration with NVIDIA’s GB200 processors via NVQLink, expanding Quantinuum’s partnership with NVIDIA to support real-time error correction and hybrid programming.
Dr. Rajeeb Hazra, President & CEO of Quantinuum, emphasized the transformative potential of Helios, stating, “The next computing inflection point starts today. For the first time, enterprises can access a highly accurate general-purpose quantum computer to drive real-world impact, transforming how industries innovate – from drug discovery to finance to advanced materials.” He further noted that the name ‘Helios’ signifies the dawning of the commercial adoption phase of quantum computing in industry.
Helios is designed to unlock the ability to enhance Generative AI (GenAI) models with quantum-generated data, thereby maximizing AI’s full potential in critical areas such as data analysis, material design, and quantum chemistry. This direct link to AI applications underscores its relevance in the evolving landscape of artificial intelligence.
Quantinuum has already garnered a growing community of early users and collaborators, including prominent names in life sciences, materials, and finance. These include Amgen, which is exploring hybrid quantum-machine learning for data-driven discovery; BMW Group, advancing sustainable mobility through materials research; JPMorgan Chase, researching advanced financial analytics; and SoftBank Corp., investigating organic materials for next-generation batteries. Furthermore, Quantinuum has forged a strategic partnership with Singapore’s National Quantum Office to deploy Helios locally and establish a Quantinuum R&D and Operations Centre in Singapore.
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Helios is now commercially available to customers through Quantinuum’s cloud service and as an on-premise offering, building upon the success of its predecessor, H2, which had already demonstrated quantum advantage. This launch marks a significant step towards practical, commercial quantum applications across diverse industries, offering unprecedented fidelity, scalability, and programmability.
