With Q.ANT’s record-breaking funding, Europe positions itself to lead in photonic computing, a low-energy, high-performance alternative to CMOS, as AI drives global semiconductor competition.
The growth of AI has dramatically increased energy consumption, posing a major limitation for future developments. Over 90% of these AI-related computations involve matrix multiplication, tasks that traditional electronic devices handle inefficiently due to their limited bandwidth and interference-prone electronic signals. These constraints restrict speed and energy efficiency and require careful management to ensure signal integrity.
Through its detailed photonic & computing Technology & Market Reports, Yole Group and its teams deliver key insights on the latest innovations and business opportunities. The author of this article, Eric Mounier, PhD, is Chief Analyst, Photonics at Yole Group. Enjoy reading today’s snapshot!
Photonic processors, which use photons instead of electrons, offer significant advantages. These devices provide ultrawide communication bandwidth, ultrahigh processing frequency, and remarkably low energy consumption. Additionally, using wavelength and spatial mode multiplexing allows photonic processors to handle multiple computing threads simultaneously with minimal extra overhead. This approach greatly accelerates processing compared to traditional electronic computers.
Recently, Q.ANT secured €62 million from Cherry Ventures, UVC Partners, imec.xpand, and nine other deep-tech investors. This financial operation is the largest Series A funding for photonic computing in Europe. Q.ANT’s mission is to replace electricity with light for AI and HPC, addressing urgent issues in energy consumption and limitations in current CMOS technologies.
Q.ANT’s key product, the Native Processing Server (NPS), uses Thin-Film Lithium Niobate (TFLN), an innovative optical material gaining attention worldwide due to its outstanding performance in integrated optics. Real-world tests demonstrate Q.ANT’s NPS delivers thirty times the energy efficiency, fifty times the performance speed, and one hundred times the computing density of traditional processors, all without the need for active cooling. Impressively, these processors maintain 99.7% accuracy on complex AI tasks.
With this funding, Q.ANT aims to scale production, develop next-generation photonic chips, expand its team, and enter the U.S. market. By 2030, the company envisions photonic computing as a foundational technology within global AI infrastructure, offering commercial products already available for early evaluation.
Eric Mounier
PhD, Chief Analyst, Photonics at Yole Group
The photonic processor market could reach US$2.7 billion by 2034, as we describe in the Optical Computing 2024 report. It is a figure to keep in mind. Indeed, it marks an important opportunity for Europe to lead in this innovative computing approach.
Yole Group is committed to providing a deep understanding of the quantum technology ecosystem and its impact on photonics. Through flagship publications such as Quantum Technologies 2025 and Optical Computing 2024, we deliver strategic insights into market trends, technology readiness, and competitive dynamics. We explore key questions: Where does the industry stand today? How will quantum breakthroughs transform photonics applications? Which players are best positioned to shape the future?
Eric Mounier, PhD, is Chief Analyst, Photonics at Yole Group.
With more than 30 years experience in the semiconductor industry, Eric provides daily in-depth insights into emerging semiconductor technologies, including quantum technologies, the Metaverse, terahertz, photonics, and sensing.
Based on relevant methodological expertise and a significant technological background, Eric works closely with all Yole Group’s teams to highlight disruptive technologies and analyze business opportunities through technology & market reports and custom consulting projects.
Eric has spoken at numerous international conferences, presenting Yole Group’s vision of emerging semiconductor technologies, markets, and applications.
Previously, Eric held R&D and Marketing positions at CEA-Leti (France).
Eric Mounier has a PhD in Semiconductor Engineering and a degree in Optoelectronics from the National Polytechnic Institute of Grenoble (France).