IBM (NYSE: IBM) and ETH Zurich announced a 10-year collaboration to advance algorithms for artificial intelligence and quantum computing applications. The initiative aims to develop new algorithmic foundations that bridge classical computing, machine learning, and quantum systems.

The partnership will focus on four key areas: optimization and combinatorial problems, differential equations and dynamical systems, linear algebra and Hamiltonian simulations, and complex system modeling. IBM will support the creation of professorship positions and research projects at ETH Zurich to advance algorithmic expertise for the next generation workforce.

The collaboration will explore hybrid approaches that combine classical, AI-driven, and quantum computation methods. According to the press release, these mathematical foundations are intended to unlock practical value from current quantum hardware and address complex problems in science, industry, and society.

"Algorithms have always been the true drivers of computing revolutions and are at the core of our history at IBM Research," said Alessandro Curioni, IBM Fellow and VP of Algorithms and Applications at IBM Research. "As AI and quantum computing converge, we are witnessing the dawn of a new algorithmic era."

Prof. Dr. Joël Mesot, President of ETH Zurich, stated that the partnership reflects the institution's ambition to co-create technology and empower the next generation of AI and quantum computing experts.

The announcement represents an extension of the existing collaboration between the two institutions. ETH Zurich has produced 22 Nobel laureates and contributed foundational work in mathematics, physics, and computer science. IBM has developed algorithmic breakthroughs including the Fast Fourier Transform and AI systems like Deep Blue and Watson.