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IQM Advances SPAC Deal To Expand Europe’s Quantum Sector

Finland’s pioneering quantum computing startup, IQM, has announced a landmark move to become one of Europe’s first publicly listed quantum companies. The firm is positioning itself for a merger with special purpose acquisition company Real Asset Acquisition Corp in a New York listing that values IQM at an initial $1.8 billion. Pending shareholder consent and regulatory clearance, the transaction is expected to conclude by June, with a potential dual listing on the Helsinki stock exchange further reinforcing its European ties.

Strategic Merger And Funding Milestone

Founded in 2018, IQM has raised $320 million, including a Series B round led by Ten Eleven Ventures and Finnish investor Tesi. The proposed merger is expected to generate more than $300 million through a combination of private investment in public equity and funds held in the SPAC trust account.

The company plans to use the capital to accelerate development of full-stack, open-architecture quantum systems designed for both on-premise installations and cloud access.

Commercial Deployment And Industry Breakthroughs

Quantum computing is being developed to process complex calculations faster than traditional systems, with potential applications in medicine, scientific research, and finance. While large-scale commercial adoption remains limited, analysts note steady technical progress across the sector. Recent commentary from UBS indicates that the industry is gradually moving from research-driven experimentation toward practical use cases.

Industry Momentum Across Europe And Beyond

IQM’s progress reflects broader momentum in the European quantum ecosystem. The company has sold 21 systems to 13 customers and reported at least $35 million in unaudited revenue in 2025. Other European firms, including UK-based Quantinuum and Spain’s Multiverse Computing, have also attracted significant investment.

Globally, competition continues to intensify. China has committed close to $18 billion to quantum research, while the European Union is expanding funding initiatives aimed at strengthening regional capabilities in advanced computing.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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