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Qarakal Quantum and Quantum Elements were selected for a $2.4 million BIRD Foundation project to develop a quantum simulation platform for chemical reactions on material surfaces. The collaboration aims to produce a validated prototype and benchmark chemistry models, but the announcement does not establish that the platform has achieved a practical advantage over existing simulation methods.
Qarakal Quantum and Quantum Elements have been selected by the Israel-U.S. BIRD Foundation for a project with a $2.4 million budget to develop a quantum simulation platform for chemical reactions on material surfaces. The companies say they will combine superconducting quantum hardware and software tools to build a prototype for catalyst research; the announcement describes a development effort, not a completed system or demonstrated performance advantage.
The planned platform is intended to help researchers investigate reactions at catalyst surfaces, which are relevant to areas including hydrogen production, CO₂ conversion, nitrogen-fixation chemistry and materials development. The companies say the project will take industrially relevant catalyst problems and translate them into computational workflows suitable for quantum hardware. They also plan to create benchmark chemistry models and quantum algorithms, with demonstrations and API outputs aimed at chemists and materials engineers.
Under the collaboration, Qarakal’s modular superconducting hardware will be paired with Quantum Elements’ digital-twin software and tools for error management. The partners say their joint work will model the system’s behavior and noise, then use that information to inform choices such as compilation, calibration, pulse-level execution, error suppression and algorithm design. Their stated aim is to coordinate decisions across the hardware and software stack rather than develop a chemistry algorithm independently of the machine it would use.
The BIRD award is for one of seven projects approved by the foundation, according to the announcement. The source identifies the project’s budget but does not provide a spending schedule, a detailed division of funds between the companies, or a specific deadline for completing the prototype. The companies describe the work as a step toward a broader platform for industrial catalyst and materials development, with possible future users in chemical manufacturing and research.
Testing Quantum Tools on Catalysts
The project targets a meaningful industrial research problem: predicting how chemicals react at material surfaces can inform the design of catalysts used across the energy, chemicals and materials sectors. The announcement cites an estimate that catalytic processes are involved in 80–90% of chemical products. It also points to a MarketLine study estimating the global chemical processing industry generates $5 trillion to $6 trillion annually. These figures describe the sector’s scale; they do not measure the potential value or likely impact of this particular project.
Today, researchers use high-performance computing and methods such as density functional theory to study catalytic systems. The companies say that some problems involving strong electronic interactions, surface defects, transition-metal sites and bond breaking can require substantial approximations. The proposed work will investigate whether quantum computing can complement those existing approaches. It has not yet shown that quantum hardware can solve such problems more accurately, quickly or cheaply than classical methods.
The collaboration is also relevant to how quantum applications are built. Linking software models of device behavior with chemistry workflows could help the partners evaluate design and execution choices before using limited hardware time. That is the project’s stated engineering rationale, rather than evidence that the planned platform is already ready for industrial use.
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From Device Models to Chemistry
The companies frame the work as a hardware-software co-design effort. Qarakal contributes modular superconducting quantum hardware, while Quantum Elements contributes digital-twin and physics-AI capabilities, along with methods for error suppression, error correction and decoding. The announcement says these tools will be used to model the hardware and guide workflow development. It does not give technical specifications for the processor, such as qubit count, error rates or system availability.
In conventional catalyst research, computational screening can help narrow down candidates before laboratory tests, but the most difficult electronic structures can be challenging to represent precisely with existing approaches. The project’s stated purpose is to explore a possible quantum-computing contribution to that work, not to replace current simulation methods. Its planned benchmarks and prototype are intended to provide a way to assess whether the combined system can support relevant chemistry tasks.
“Our architecture is modular by design and tailorable for real-world workloads — that’s what makes this collaboration work.”
— Dr. Nissan Maskil, CEO and co-founder of Qarakal Quantum
Prototype Results Still Pending
The announcement does not specify when the prototype will be delivered, which catalyst reactions will serve as the initial benchmarks, or what quantitative criteria will define success. It also provides no measured results comparing the planned quantum workflows with classical simulation, and no evidence yet of a practical advantage in accuracy, speed or cost.
Other details remain unspecified, including how the $2.4 million budget will be allocated, how much of the work will run on existing hardware, and whether the project will include access for outside industrial users. The companies’ descriptions of future applications are plans and possibilities, not confirmed deployments or customer commitments.
Benchmarks and Prototype Work
The next stated steps are to develop and validate a prototype, select benchmark chemistry models, and build quantum algorithms and workflows for catalyst problems. The partners also plan demonstrations and API outputs for chemists and materials engineers. The announcement does not give dates for these milestones, so the project timeline remains unreported.
Evidence to watch for includes the benchmark problems selected, technical details about the hardware and software, and results showing how the quantum workflows compare with established computational methods. Those findings will help clarify whether the collaboration can move from a funded development project toward a useful tool for industrial research.
Key Questions
What is the BIRD Foundation funding?
The foundation selected Qarakal Quantum and Quantum Elements for a project with a $2.4 million budget to develop a quantum simulation platform for chemical reactions on material surfaces.
What will each company contribute?
Qarakal is contributing its modular superconducting quantum hardware. Quantum Elements is contributing digital-twin software and tools for modeling device behavior and managing errors. The companies say they will use the combined capabilities to develop chemistry workflows.
Will the platform replace current catalyst simulation methods?
No such replacement has been established. The companies say they will investigate how quantum computing could complement existing tools, including high-performance computing and density functional theory.
Has the project shown a quantum advantage?
No. The announcement describes a planned prototype and benchmarks but reports no comparative performance results demonstrating an advantage over classical simulation.
When will the prototype be ready?
The announcement does not give a completion date or project timetable. The companies say they will work toward a validated prototype, benchmark models and demonstrations.
Source: rss
