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DAAIPMSF

Device Agnostic AI-Powered Magic State Factories

This project develops AI-based optimization methods for fault-tolerant quantum computing. By improving the efficiency of the magic state factory, a major bottleneck in quantum hardware, the project aims to reduce resource requirements and accelerate practical deployment. The collaboration combines scientific research with software innovation and contributes to the Netherlands’ position in quantum technologies.

Fault-tolerant quantum computing has the potential to solve problems that are beyond the reach of classical computers, but its practical realization is currently limited by the very high cost of quantum error correction. A major part of this cost comes from the so-called magic state factory, which is needed to enable reliable quantum computation and can consume a very large share of the available hardware resources.

This project addresses that bottleneck through a collaboration between MagiQware and the University of Amsterdam. The University of Amsterdam will develop novel magic state factory methods compatible with the new quantum error correction codes, while MagiQware will implement these methods as AI-based agents, alongside the other existing magic state factories in the literature, in its software library for quantum optimization. In this way, the project combines scientific research with practical software development.

The goal is to create a new generation of intelligent software tools that can automatically optimize magic state factories for different quantum hardware platforms and use cases. This is expected to reduce the hardware overhead needed for fault-tolerant quantum computing. The project contributes to the Dutch innovation ecosystem by strengthening collaboration between academia and industry, translating scientific knowledge into practical technology, and reinforcing the Netherlands’ position in quantum technologies. In the longer term, the results can support new software products, intellectual property, and accelerate quantum computers' time to market.

Facts & figures
  • Scheme: MKB Hightech
  • Programme: | -
  • Total budgeted project costs: € 887.600,00
  • Project start date: 1 September 2026
  • Project end date: 31 August 2028
Project managers
Project consortium
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