Quantum

Qarakal Quantum And Quantum Elements Receive BIRD Foundation Grant For Quantum Computing Innovation With a $2.4 Million Budget

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 28/10/2026, 13:19:24 UTC.

Briefings

Qarakal Quantum and Quantum Elements were selected by the Israel-U.S. Binational Industrial Research and Development (BIRD) Foundation for a $2.4 million project to develop a quantum simulation platform for chemical reactions on material surfaces. The collaboration combines Qarakal's superconducting quantum hardware with Quantum Elements' digital-twin software to optimize hardware and chemistry workflows. The companies aim to build a validated prototype and benchmark chemistry models to investigate how quantum computing can complement existing catalyst simulation methods. The project will produce benchmark chemistry models and quantum algorithms with API outputs intended for chemists and materials engineers.

Key points

• Qarakal Quantum and Quantum Elements were selected by the BIRD Foundation for a $2.4 million project to develop a quantum simulation platform for chemical reactions on material surfaces.
• The collaboration combines Qarakal's superconducting quantum hardware with Quantum Elements' digital-twin software to jointly optimize hardware and chemistry workflows.

Context

The companies aim to build a validated prototype, benchmark chemistry models and quantum algorithms to investigate how quantum computing could complement existing catalyst simulation methods. Heterogeneous catalysis is essential to industries ranging from energy and chemicals to advanced materials, with catalytic processes involved in the manufacture of an estimated 80-90% of chemical products. The scale of these industries is significant, with the global chemical processing industry generating between $5 and $6 trillion annually.

Limitations

The evidence is limited to a press release from October 2026. The project will produce benchmark chemistry models and quantum algorithms with demonstrations and API outputs intended for chemists and materials engineers. The companies ultimately envision the work supporting a broader quantum-enabled simulation platform for industrial catalyst and materials development. Specific future users and detailed implementation timelines are not specified in the source.

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