IQM Valued at $1.8B Pre-Money in RAAQ SPAC Combination

IQM Quantum Computers has secured an additional investment from Ilmarinen, one of Finland’s largest private earnings-related pension insurance companies, bringing total committed PIPE financing to over USD 146 million. This increased funding round, ahead of planned dual listings on Nasdaq and the Helsinki Stock Exchange, values the quantum computing firm at a pre-money equity valuation of approximately USD 1.8 billion. IQM currently generates EUR 31 million (USD 36 million) in revenue, demonstrating commercial traction in a speculative field. “We’re pleased to see such strong investor demand, particularly with the addition of Ilmarinen,” said Jan Goetz, Co-Founder and Chief Executive Officer of IQM. “This commitment signals that the market recognizes our product readiness and the real value we’re delivering to customers.”

Ilmarinen Investment Upsizes IQM’s PIPE Financing to $146 Million

The increased funding reflects substantial institutional demand prior to IQM’s anticipated dual listing on both Nasdaq and the Helsinki Stock Exchange, signaling growing interest in the developing quantum computing sector. The investment brings the total valuation for IQM to USD 1.8 billion, and the company projects a bolstered cash position reaching up to EUR 406 million (USD 477 million) upon completion of the deal. This additional capital will accelerate IQM’s technological and commercial development, focusing on achieving fault-tolerant quantum computing and solidifying its position as a provider of quantum computers. Peter Ort, Chief Executive Officer and Co-Chairman of Real Asset Acquisition Corp, emphasized the company’s progress, stating, “We reopened the PIPE because the demand is there from institutional investors who recognize what IQM has built, operational quantum computers, active customer deployments, and a commercial foundation that most of the quantum sector has yet to achieve.” This capital infusion is intended to facilitate scaling of operations to meet growing demand and maintain IQM’s competitive edge in the rapidly evolving quantum computing industry.

IQM’s Vertically Integrated Model & Full-Stack Quantum Computers

IQM Quantum Computers is distinguishing itself within the developing quantum computing sector through a comprehensive, vertically integrated approach, controlling the entire quantum computer production chain from chip design to data center operation. Unlike many competitors focused on isolated components, IQM builds full-stack, open-architecture systems deployable on-site or accessible through cloud services, allowing for accelerated innovation and tailored solutions for clients. Recent financial activity demonstrates a move beyond theoretical promise, with the company reporting current revenue of EUR 31 million (USD 36 million), a figure indicative of existing commercial applications. This investment from a conservative, long-term institutional investor is notable given the risks associated with quantum technology development. IQM’s business model centers on a combination of proprietary tools, including a chip design platform and software developer environment, alongside a dedicated quantum chip fabrication facility and data center. This commitment to a complete ecosystem, coupled with increasing financial backing, positions IQM to scale its operations and advance toward fault-tolerant quantum computing, with a current valuation of USD 1.8 billion and a projected cash position of up to EUR 406 million (USD 477 million).

We reopened the PIPE because the demand is there from institutional investors who recognize what IQM has built – operational quantum computers, active customer deployments, and a commercial foundation that most of the quantum sector has yet to achieve.

Peter Ort, Chief Executive Officer and Co-Chairman, Real Asset Acquisition Corp
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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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