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Quantum Art Develops High-Resolution Wave Propagation Algorithm

Quantum Computing Report
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⚡ Quantum Brief
Israeli trapped-ion quantum computing firm Quantum Art unveiled a breakthrough quantum algorithm for high-resolution electromagnetic wave propagation modeling, developed with a government R&D partner. The algorithm simulates wave behavior across tens of cubic kilometers at centimeter-scale resolution. The solution addresses classical supercomputers’ limitations by handling 10¹⁸ sampling points—an impossible task for traditional systems—without sacrificing accuracy, coverage, or energy efficiency. Quantum Art’s trapped-ion architecture compresses complex PDE operations, reducing circuit depth significantly. Benchmarking showed a 100× performance gain over superconducting quantum platforms and 10× over competing trapped-ion methods. Just ~60 qubits enable high-fidelity simulations on near-term hardware, demonstrating practical quantum advantage. Founded in 2022 as a Weizmann Institute spin-off, the company secured $140M in Series A funding and is scaling toward a 1,000-qubit "Perspective" platform with multi-core trapped-ion chains. Applications span mission-critical communications, wireless network planning, and large-scale PDE modeling, marking a milestone for quantum-accelerated engineering solutions.
Quantum Art Develops High-Resolution Wave Propagation Algorithm

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Quantum Art Develops High-Resolution Wave Propagation Algorithm Quantum Art, an Israeli trapped-ion quantum computing company, has announced the successful completion of a joint project with a leading Israeli governmental R&D agency to model electromagnetic wave propagation. The collaboration resulted in a quantum algorithm capable of simulating wave behavior across volumes spanning tens of cubic kilometers at centimeter-level resolution. This level of detail requires approximately 1018 sampling points—a scale that forces classical supercomputers to make significant trade-offs between accuracy, coverage area, and energy consumption. The algorithm leverages Quantum Art’s unique trapped-ion architecture and its multi-qubit gate capabilities. By compressing complex partial differential equation (PDE) operations into fewer computational steps, the architecture significantly reduces circuit depth. Benchmarking results demonstrated a 100× performance improvement over a leading superconducting platform and a 10× improvement over rival trapped-ion approaches. This efficiency allows the algorithm to represent massive grids using only ~60 qubits, making such high-fidelity simulations achievable on near-term quantum hardware. Founded in 2022 as a spin-off from the Weizmann Institute of Science, Quantum Art is currently scaling its technology following a $140 million Series A funding round. The company is working toward its 1,000-qubit “Perspective” platform, utilizing a multi-core architecture and linear trapped-ion chains. The success of this wave propagation project highlights the potential for quantum-accelerated solutions in mission-critical communications, wireless coverage planning, and other engineering domains reliant on large-scale PDE modeling. You can find the official announcement regarding Quantum Art’s wave propagation algorithm here. May 5, 2026 Mohamed Abdel-Kareem2026-05-05T12:10:43-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Source: Quantum Computing Report