Rhonexum Raises $1 Million in Pre-Seed Funding
Rhonexum, a Swiss startup specializing in electronics for cryogenic environments, has secured $1 million in a pre-seed funding round. The funding was led by QDNL Participations, with additional backing from Venture Kick. The company is headquartered in Lausanne, Vaud, Switzerland.
Innovating Cryogenic Electronics
Rhonexum is focused on developing advanced cryogenic circuits and simulation tools that are crucial for quantum computing and other emerging technologies. These electronics operate at temperatures below -270ยฐC, which is essential for the reliability and efficiency of quantum computing systems. By designing components that function directly in cryogenic conditions, Rhonexum aims to simplify system architecture and enhance the efficiency of quantum processors.
Founders and Leadership
The company was founded by Vicente Carbon and Hung-Chi Han, who serve as CEO and CTO, respectively. Both founders bring a wealth of knowledge in cryogenic semiconductor physics and systems engineering, contributing to the industrialization of deeptech technologies. Carbon and Han's collaboration began at EPFLโs AQUA Lab, where they initially spun out Rhonexum.
Strategic Use of Funds
The newly acquired funds will help Rhonexum expand its product development and enhance its proprietary models and software tools. The capital injection will also facilitate the company's efforts to bring control electronics closer to quantum processors, thus reducing system complexity.
Support from Swiss Innovation Programs
In addition to the equity funding, Rhonexum has received support from various Swiss innovation initiatives. These include the EPFL Startup Launchpad, Fondation pour l'Innovation Technologique, and the Swi, which have provided additional resources to bolster the company's growth.
Looking Ahead
With this financial backing, Rhonexum is poised to make significant strides in the field of quantum computing. The company's advancements in cryogenic electronics are set to play a pivotal role in the evolution of more compact and efficient quantum computing architectures.
