Current computing power limits the capabilities of AI, but a new era of “next-level computing” is emerging to break this bottleneck. In conversation with journalist Jennifer Schenker (The Innovator), Michael Förtsch (Q.ANT) and Sebastian Luber (Infineon), discuss the revolutionary potential of photonic and quantum computing.
Michael Förtsch argues that current processors are the wrong tool for AI. His company’s photonic processors harness light instead of electricity, making them 50 times faster and 30 times more energy efficient. “We gave the world a new processor to accelerate complex computations”, Förtsch says.
This will not just speed up current AI models but enable entirely new applications, the Q.ANT founder believes. “Large language models are not the end of artificial intelligence”, he says. “And whatever comes second needs a different type of processor to facilitate this next-generation AI, and that’s where we come into play.”
Sebastian Luber highlights quantum computing as a different paradigm that can tackle problems classical computers cannot. He stresses the diversity of quantum approaches – from trapped ions to superconductors – and emphasizes that no single technology has yet emerged as the clear winner. “We are still at the very beginning”, Luber says.
Watch the video for details on both technologies and find out why Förtsch and Luber agree that photonic and quantum computing are complementary, rather than competing with each other.
