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TRUMPF-Led Initiative Evaluates Quantum Algorithms for Laser Physics

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DITZINGEN, Germany, Nov. 21, 2025 — TRUMPF, the Fraunhofer Institute for Laser Technology ILT (Fraunhofer ILT), and the Dahlem Center for Complex Quantum at the Department of Physics at Freie Universität Berlin are teaming up to research the fundamentals of laser physics with the help of quantum algorithms. The collaborators' long-term goal is to use quantum computers to significantly accelerate the development process for new lasers in the future.

“If we understand the physical processes involved in generating and amplifying laser light more precisely, we will be able to make our products even more efficient and increase their performance in the future,” said Daniel Basilewitsch, who is responsible for the project at TRUMPF.

Technicians conduct mirror assembly in the TRUMPF clean room to produce an extreme ultraviolet laser system. Courtesy of TRUMPF
Technicians conduct mirror assembly in the TRUMPF clean room to produce an extreme ultraviolet laser system. Courtesy of TRUMPF
The work specifically aims to determine whether quantum computers can simulate the complex quantum mechanical processes that take place in lasers better than the conventional high-performance computers that TRUMPF has used to date. Project partners are focusing their research on CO2 lasers and semiconductor lasers.

“In addition to their use in data transmission, in sensor technology in smartphones, and in the future in autonomous driving, semiconductor lasers are the backbone of most industrial laser applications, either as a pump source or in direct application,” said Carlo Holly, head of the Data Science and Measurement Technology department at Fraunhofer ILT and RWTH Aachen University chair of Optical Systems Technology. “The impact of better prediction of amplification properties using quantum algorithms can be correspondingly large. The goal is to use quantum computers to calculate the quantum mechanical processes in semiconductor lasers.”

However, it will still be some time before quantum computers can be widely used in industry. Although the first prototypes already exist, they are currently still unsuitable for complex industrial tasks.

Stanford Research Systems - Precision DC Voltage 3-25 300x250

“Nevertheless, it is important to build up the expertise today so that quantum computers can be used in industry in the future,” said Basilewitsch.

Fraunhofer ILT brings its leadership in the simulation of semiconductor lasers to the effort, while the Dahlem Center for Complex Quantum Systems brings its expertise in the modeling of molecular collisions. TRUMPF is developing the first quantum algorithms and coordinating the project. The German Federal Ministry of Education and Research is funding the project with around €1.8 million (~$2M) as part of its “Application-Oriented Quantum Informatics” funding program.

First, the researchers are analyzing existing simulation approaches and testing initial quantum algorithms.

“The core of the project is the translation of the physical modeling of the desired and undesired energy transfer processes occurring in the CO2 laser from classical to quantum computers. A better understanding of these processes will then serve to optimize the laser design,” said Christiane Koch from the FU Berlin.

“The project is an important step toward making energy-intensive chip production more sustainable, where our CO2 lasers are used today,” said Basilewitsch.


Published: November 2025
Glossary
semiconductor
A semiconductor is a type of material that has electrical conductivity between that of a conductor and an insulator. In other words, semiconductors have properties that are intermediate between metals (good conductors of electricity) and insulators (poor conductors of electricity). The conductivity of a semiconductor can be controlled and modified by factors such as temperature, impurities, or an applied electric field. The most common semiconductors are crystalline solids, and they are...
quantum
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artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
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