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LightSolver to Present “Solving PDEs with Optical Analog Computing” at CF’ 25 Conference

TEL AVIV, Israel – May 26, 2025 – Israeli start-up LightSolver, inventor of a new laser-based computing paradigm, today announced that Head of Innovation Dr. Omri Wolf will speak at the 22nd ACM International Conference on Computing Frontiers (CF 25), taking place May 28–30 in Cagliari, Italy. Dr. Wolf will present during the “Analog Computing Special Session” on May 29 at 14:00 CET, where he will unveil a new approach for solving partial differential equations (PDEs) using spatial optical computing.

WHO

Omri Wolf, PhD is the Head of Innovation at LightSolver, where he leads development efforts on the new computational paradigm using the company’s proprietary Laser Processing Unit™ (LPU). Dr. Wolf holds a doctorate in physics and has extensive experience in laser dynamics and applicative photonics.

WHAT

Dr. Wolf will present “Solving PDEs with Optical Analog Computing,” a novel approach that leverages the natural dynamics of rapidly interacting lasers to solve complex PDEs that underlie physical simulations in fields such as fluid dynamics, electromagnetics, and structural mechanics. Using LightSolver’s spatial optical computing platform, he will demonstrate how various PDE operators and boundary conditions can be embedded directly onto the LPU, enabling efficient analog computation. This method offers a scalable path to solving PDEs with up to ~1 million grid points on a single device, with the potential for significant energy and time savings over traditional digital solvers.

WHERE

22nd ACM International Conference on Computing Frontiers (CF’25)
Hotel Regina Margherita
V.le Regina Margherita, 44, 09124
Cagliari CA, Italy

WHEN

Thursday, May 29, 2025 14:00 CET14:00 CET

WHY

As industry demand grows for faster and more energy-efficient ways to solve physics-based simulations, analog computing is regaining attention for its potential to natively represent physical systems. LightSolver’s laser-based approach represents a breakthrough in analog computing scalability and programmability, making it a promising candidate for next-generation scientific computing platforms.