Quantum Art reports quantum wave modeling results with Israeli agency

26 October 2026. Quantum Art announced results from a joint project with a leading Israeli governmental research and development agency. The project developed quantum algorithms for modeling electromagnetic wave propagation. The company said the work shows the potential of quantum computing to address complex physical problems at scales beyond the practical limits of classical computing.

The algorithm simulates electromagnetic wave propagation generated from multiple sources across volumes spanning tens of cubic kilometers, at centimeter-level resolution and beyond. According to the release, this capability supports accurate wireless coverage planning and improves the reliability of mission-critical communication systems. Models at this level of detail require on the order of ~10¹⁸ sampling points.

Classical supercomputers struggle to process problems of this magnitude efficiently, forcing trade-offs between coverage area, model accuracy, computation time, and energy consumption, the release states. The algorithms were based on Quantum Art's architecture and its multi-qubit gate capabilities, which the company says enables efficient solutions of partial differential equations used in large-scale wave propagation modeling. PDEs underpin models in communications, aerospace, automotive, finance, and defense.

By compressing complex operations into fewer computational steps, the multi-qubit architecture reduces quantum circuit depth and allows advanced algorithms to run efficiently on systems with a relatively small number of qubits. Benchmarking results showed more than a 100× performance improvement compared to a leading superconducting quantum computing platform, and over a 10× improvement compared to another trapped-ion approach.

Due to the exponential scaling of quantum computation, a grid containing approximately 10¹⁸ sampling points can be represented using only ~60 qubits, placing simulations of this scale within reach of near-term quantum systems, the company said.

Prof. Roee Ozeri, Chief Scientific Officer at Quantum Art, said: "When attempting to model complex wave behavior at this scale and centimeter-level resolution, classical systems impose trade-offs that limit either accuracy or coverage. The quantum algorithms we developed preserve high precision at scales that were previously impractical, and this advantage is expected to grow as quantum hardware continues to advance."

Source: Quantum Art news