Quantum Computing Business News, Quantum Hardware

IQM Systems Support 150–300 Qubit Processors in One Relationship

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June 29, 2026 by Ivy Delaney

Institutions building long-term quantum programs can now work with a single vendor for support of both 150-qubit and 300-qubit processors, according to a new IDC MarketScape report recognizing IQM as a Major Player in the worldwide quantum computing field. The company is advising a shift away from shared cloud access toward deploying full-stack, open-architecture superconducting systems directly within customers’ data centers. This model allows organizations to own the hardware, develop internal expertise, and integrate quantum processing with existing classical infrastructure, ensuring portability of developed workflows and intellectual property. Jan Goetz, CEO and Co-founder of IQM Quantum Computers, said that the company believes the future of quantum computing is one where institutions own, operate, and build on the technology, rather than rent it, signaling a move toward strategic independence and control for institutional buyers.

IDC MarketScape Positions IQM as a Major Quantum Vendor

The IDC MarketScape report states that for institutions building long-term quantum programs, workflows and intellectual property developed on IQM hardware will remain portable, highlighting the value of sustained ownership and portability for long-term investment. The assessment specifically advises considering IQM for organizations needing on-premises quantum infrastructure capable of scaling from 150-qubit to 300-qubit processors within a single vendor relationship, a crucial factor for institutions planning multi-year quantum programs. IQM’s approach is founded on three core principles: ownership, open architecture, and integration; the company designs chips, builds hardware, and writes software in-house, providing complete supply chain visibility and control. IQM also distinguishes itself with a commitment to open-source foundations, utilizing the Qrisp SDK and the QDMI interoperability layer, allowing customers to avoid vendor lock-in and build upon established, standard frameworks like Qiskit and Cirq, which the company believes is essential for fostering innovation and accelerating quantum adoption within institutions. IQM views this IDC MarketScape recognition as validation of its long-held belief in a future where quantum computing is institutionally owned and operated.

Consider IQM if you require on-premises quantum infrastructure with full hardware ownership and a deployment model that supports incremental capability building from workforce training through 150-qubit and 300-qubit processors within the same vendor relationship.

IDC MarketScape

Production Quantum: On-Premises Systems and Full-Stack Control

The shift toward institutions directly hosting quantum computing infrastructure is gaining momentum, as evidenced by IQM’s recognition as a Major Player in the IDC MarketScape’s worldwide vendor assessment. This full-stack control extends to the software layer, with IQM’s Qrisp SDK and the open-source QDMI interoperability layer designed to prevent vendor lock-in and allow customers to build upon open foundations. The company further distinguishes itself by handling chip design, hardware construction, and software development in-house, including chip fabrication at its Espoo facility, providing complete supply chain visibility. This emphasis on institutional control reflects a growing demand for strategic independence and a competitive advantage in a rapidly evolving field, as organizations seek to integrate quantum processing alongside existing classical infrastructure.

For institutions building long-term quantum programs, this means the workflows and intellectual property developed on IQM hardware remain portable.

IDC MarketScape
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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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