Qarakal Quantum and Quantum Elements win BIRD funding for quantum catalyst simulation project
Qarakal Quantum and Quantum Elements have been selected by the BIRD Foundation for a joint quantum computing project with a $2.4 million budget. The effort aims to build a simulation platform that could speed catalyst discovery and link superconducting quantum hardware with AI-native digital twins.
Why it matters: - The project targets catalyst discovery, a core step in industries including energy, chemicals and advanced materials. - Heterogeneous catalysis is involved in the manufacture of an estimated 80% to 90% of chemical products. - Better simulation tools could help researchers study reactions that are difficult to model with conventional methods. - The collaboration could shorten the path from quantum hardware development to industrial chemistry workflows.
What happened: - Qarakal Quantum and Quantum Elements said they were selected by the Israel-U.S. Binational Industrial Research and Development Foundation to jointly develop a quantum simulation platform. - The announcement was made Oct. 28, 2026, in Los Angeles. - The project is one of seven approved by the BIRD Foundation. - The project budget is $2.4 million.
The details: - The platform is intended to help understand and design chemical reactions that occur on material surfaces. - Qarakal Quantum will contribute modular superconducting quantum hardware and a hardware-software co-design approach. - Quantum Elements will contribute software for fault-tolerant quantum computing, including AI-driven co-design, error suppression, error correction and decoders. - The partners want to validate a prototype that can turn industrial catalyst problems into quantum-ready computational workflows. - The work will combine digital-twin modeling with hardware development across compilation, calibration, pulse-level execution, error suppression and algorithm design. - The companies plan to produce benchmark chemistry models and quantum algorithms. - The collaboration is expected to include demonstrations and API outputs for chemists and materials engineers. - Potential applications include clean hydrogen production, CO₂ conversion, nitrogen-fixation chemistry, hydrocarbon processing and advanced coatings. - The project will examine how quantum computing can complement high-performance computing and density functional theory for difficult problems involving strong electronic correlation, surface defects, transition-metal active sites and bond-breaking pathways.
Between the lines: - The project reflects a broader push to connect quantum hardware with practical industrial use cases rather than isolate algorithm development from the underlying machine. - The companies are positioning digital twins as a way to reduce risk before limited quantum hardware time is spent. - Qarakal Quantum CEO and co-founder Nissan Maskil said modular architecture and real-world workloads make the collaboration workable. - Quantum Elements Co-Founder and CEO Izhar Medalsy said catalyst discovery offers a test case for applying quantum digital twins and physics AI from device behavior to an industrial chemistry workflow. - The companies ultimately see the work as a foundation for a broader quantum-enabled simulation platform for industrial catalyst and materials development. - The announcement points to potential users in catalyst manufacturing, specialty materials, chemical supply and industrial R&D groups that already use computational screening, high-performance computing and lab testing.
What's next: - The partners will work toward a validated prototype and benchmark models. - Future work will focus on translating the platform into workflows that chemists and materials engineers can use. - The companies say the effort could lead to a broader platform for industrial catalyst and materials development. - BIRD Foundation support can cover up to 50% of project development costs, up to $1.5 million per project, though this project's total budget is $2.4 million. - Qarakal Quantum directs readers to more information and Quantum Elements directs readers to the company's website.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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