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IQM Quantum Computers has revealed an ambitious development roadmap aiming for fault-tolerant quantum computing by 2030. The roadmap outlines key milestones toward scaling up to 1 million qubits, utilising advanced quantum error reduction and correction technologies.
The company, based in Espoo, Finland, plans to merge its two processor designs, Star and Crystal, for efficient error correction, alongside a modular software stack that allows integration with high-performance computing (HPC) systems. IQM’s goal is to enable practical, fault-tolerant quantum computing, while also creating near-term value through Noisy Intermediate-Scale Quantum (NISQ) capabilities.

Aiming for Quantum Fault Tolerance
Since its founding, IQM has developed full-stack quantum computers using a succession of processor generations. The 12-year roadmap shows IQM’s strategic focus on algorithmic innovations, modular software, and scalable hardware. According to IQM, its ability to design and produce cutting-edge quantum processors enables the seamless integration of these technologies into cohesive, full-stack systems controlled by an open software architecture.
The core of IQM’s approach lies in its unique co-design capabilities, which allow for efficient error-correction while maintaining high system performance. By merging its Star and Crystal processor topologies, IQM seeks to maximise efficiency in error-correction, making high-precision quantum computing more attainable.
Investment in R&D and Fabrication Facilities
To support its roadmap, IQM is investing in its research and development facilities, including testing and fabrication, aiming for scalability to 1 million qubits while maintaining high qubit quality. This investment will ensure that the processors meet high fidelity standards, which are critical for the reliable operation of quantum systems at scale.
Dr. Jan Goetz, Co-founder and Co-CEO of IQM, explained, “We are implementing Quantum low-density parity-check (QLDPC) codes through a novel chip topology, enabled by our uniquely connected Star topology, long-distance couplers, and a compact approach for advanced packaging and signal routing. This underscores our commitment to hardware efficiency and provides a scalable pathway to fault tolerance alongside an open, modular software architecture.”
IQM’s proprietary cleanroom facilities play a key role in supporting the development of processors with unique long-range connections, facilitating the production of high-performance quantum processors. Goetz added that these facilities enable the fabrication of complex processors with designs that support long-distance connectivity, essential for large-scale error-correction schemes.
Emphasis on Quantum Advantage and Industry Applications
IQM’s roadmap highlights its commitment to achieving quantum advantage across several domains, with initial applications focusing on quantum simulations, optimisation, and quantum machine learning. According to a McKinsey report, these applications hold the potential to unlock over US$28 billion in value by 2035.
The path to quantum advantage requires high-precision logical qubits with error rates below 10^-7, particularly for applications in areas such as chemistry and materials science that demand exceptional accuracy. IQM’s adoption of QLDPC codes is expected to reduce hardware overhead by a factor of up to 10 compared to surface codes, enhancing the feasibility of achieving quantum advantage with fewer physical resources.
Developing the Quantum Ecosystem
IQM is also taking steps to support developers and facilitate the adoption of quantum computing. The company plans to release a special software development kit (SDK) with open interfaces, enabling the developer community to leverage IQM’s systems for quantum error mitigation, library development, and use-case exploration.
To further encourage adoption, IQM will enable close integration with HPC systems, supporting hybrid quantum computing approaches. IQM’s systems will be accessible both on-premises and via cloud platforms, allowing customers worldwide to incorporate quantum computing into their operations.
The company has established a track record in HPC integration, starting in 2020 with its installation of Germany’s first hybrid quantum computer at the Leibniz Supercomputing Centre. This experience positions IQM to cater to the growing demand for quantum capabilities in enterprise and research environments.
Advanced Packaging and 3D Integration
IQM is investing in new methods for advanced packaging and 3D integration, aiming to reduce error rates while enabling scalability. The company’s modular design approach allows for the gradual scaling of large processors, while cryogenic electronics help minimise heat load and shrink packaging, reducing the cost per qubit. These features are expected to make IQM’s quantum systems more affordable and efficient for customers in HPC and enterprise markets.
Roadmap Expansion and Future Updates
IQM plans to provide more details on its roadmap through future publications and industry events. By sharing progress with the broader quantum computing community, the company aims to foster collaboration and drive innovation toward its goal of fault-tolerant quantum systems by 2030.
Last Updated on November 15, 2024 by Nick Ross
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