Boeing is turning to laser-based computing to solve some of its most complex engineering problems, a move that could accelerate simulation by orders of magnitude.
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Boeing is turning to laser-based computing to solve some of its most complex engineering problems, a move that could accelerate simulation by orders of magnitude.

Boeing is turning to laser-based computing to solve some of its most complex engineering problems, a move that could accelerate simulation by orders of magnitude.
Boeing has formed a strategic financial partnership with Israeli startup LightSolver to accelerate complex engineering simulations using a novel laser-based computer. The collaboration, announced April 28, aims to slash the time and cost of modeling complex structural and material degradation effects, a challenge that costs global industries trillions of dollars annually and remains a bottleneck for traditional GPU-based systems.
"Boeing’s engagement represents an important validation of physics-based computing as a practical tool for solving real-world engineering challenges,” said Ruti Ben-Shlomi, CEO and co-founder of LightSolver. "This partnership demonstrates how laser-based acceleration can move beyond research environments and into production workflows where simulation accuracy, scalability, and cost efficiency directly impact business outcomes.”
The partnership will fund the development of LightSolver’s Laser Processing Unit (LPU), a new type of hardware that solves large systems of partial differential equations (PDEs) directly through physical laser dynamics. Unlike digital GPUs that approximate physics, the LPU uses laser interference patterns to explore solution spaces in a highly parallel manner. The company claims its all-optical processor operates at room temperature and fits within a standard server rack unit.
For investors, the partnership is a bet on long-term R&D efficiency. By accelerating simulation speeds by orders of magnitude, Boeing can shorten design and validation cycles, reduce computational overhead, and improve risk mitigation for long-term material performance. The move is part of a broader strategy by the aerospace giant to partner with Israeli high-tech firms to maintain its competitive edge.
LightSolver's technology introduces a different computational paradigm. Instead of relying solely on digital instruction sets, the LPU solves differential equations by mapping the problem onto the physical behavior of lasers. This "physics-native" approach is designed to be highly parallel and energy-efficient, complementing classical processors within a hybrid computing architecture rather than replacing them. The goal is to achieve numerical accuracy and repeatability that can be seamlessly integrated into Boeing's existing high-performance computing environments.
The initial focus of the partnership is on modeling degradation-driven structural effects, which influence the long-term performance and maintenance planning for high-value assets like aircraft. These phenomena are governed by tightly-coupled PDEs that are computationally expensive to solve. According to independent studies cited by the companies, more accurate and faster modeling could mitigate a significant share of the multi-trillion dollar global costs associated with these structural challenges. While driven by Boeing's needs, the technology is expected to be applicable across the aerospace, energy, and transportation industries.
LightSolver was founded in 2020 by physicists Dr. Ruti Ben-Shlomi and Dr. Chene Tradonsky from the Weizmann Institute of Science and is backed in part by the European Innovation Council. The collaboration with Boeing signals a growing industry shift toward new physics-based computing architectures to overcome the bottlenecks of traditional simulation methods.
This article is for informational purposes only and does not constitute investment advice.