IQM Quantum Computers has finalized the acquisition of selected assets from Berlin-based Quantistry GmbH, a prominent developer of cloud-native chemical and materials simulation software.
The transaction targets Quantistry’s proprietary software assets, algorithm simulation libraries, and foundational intellectual property. To ensure development continuity and rapid system integration, IQM will completely absorb Quantistry’s specialized core technical workforce, integrating its quantum chemistry, machine learning, and software engineering teams directly into IQM’s existing operations.
The asset acquisition concludes alongside the official closing of IQM’s business combination with Real Asset Acquisition Corp. (RAAQ), a milestone that establishes IQM as the first publicly listed quantum computing enterprise originating from Europe.
Unifying Quantum Hardware and Classical Simulation Libraries
The strategic acquisition is engineered to bridge the operational gap between abstract quantum algorithms and production-grade industrial applications. By embedding Quantistry’s advanced, browser-based simulation suite directly onto IQM’s superconducting hardware framework, the combined entity creates an end-to-end applications development platform. The infrastructure is custom-tailored to accelerate complex research and development (R&D) cycles across the automotive, aerospace, chemical, materials science, and pharmaceutical sectors.
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“True commercialization of quantum computing requires more than powerful hardware. It requires a bridge between hardware, software, and real industrial applications. The acquisition of Quantistry’s software assets builds that bridge,” said Jan Goetz, CEO and Co-Founder of IQM Quantum Computers. “It accelerates our software development timeline in a capital-efficient way, and brings in a technical team whose expertise will help us deliver cloud-accessible simulation value to enterprise customers. This is the kind of move that gets us there faster.”
Through the absorption of these assets, IQM plans to transition and expand Quantistry’s established enterprise client portfolio under the unified IQM brand. The long-term product strategy offers commercial R&D teams a fluid computational continuum—combining legacy classical simulation tools, AI-driven optimization algorithms, and native quantum hardware acceleration. This approach enables corporate clients to systematically scale their proof-of-concepts as quantum coherence and qubit metrics mature over time.
Dr. Marcel Quennet, Co-Founder and CEO of Quantistry, said: “Joining forces with IQM Quantum Computers represents a monumental next chapter for our technology and the industry. IQM’s world-class quantum, hardware infrastructure and deep institutional trust provide the ultimate launchpad to scale our simulation platform. Together, we will enable R&D teams to model complex molecular and physical properties with unprecedented speed, moving from theoretical simulation to market-ready material innovation faster than ever before.”
Democratizing Materials Science via Smart AI Routing
Quantistry has built its market reputation by delivering lab-grade molecular insights without requiring cost-prohibitive physical testing or deep quantum mechanics specialization. A central differentiator of Quantistry‘s technology is its proprietary Machine Learning (ML) and Artificial Intelligence (AI) layer, which allows a user without deep expertise in Quantum Computing or chemical simulation to create and simulate chemical compounds with accuracy on demand.
The software stack utilizes intuitive, natural language interfaces to democratize complex physics-based modeling. At the backend, Quantistry’s underlying orchestration framework automatically determines the most efficient computational pathways, seamlessly directing complex workflows across classical HPC infrastructures, native AI computing environments, and quantum backends. This intelligent routing layer will now connect directly to IQM’s quantum computers, lowering the technical barrier of entry for global enterprises aiming to leverage quantum-backed materials discovery.






















