Gothenburg-based Arkeon has secured €594,200 in Seed funding from Chalmers Ventures, Navigare Ventures, and Almi Invest to address a critical bottleneck in scaling superconducting quantum computing: precision manufacturing. The DeepTech startup is developing a post-fabrication adjustment of qubit frequencies, a method designed to fine-tune chips after they are made and avoid costly, full redesigns when minor production variations occur. This process utilizes controlled current pulse-trains through the junction barrier to adjust junction resistance and improve wafer-level yield, ultimately aiming for more stable and reproducible quantum systems. “We are seeing strong interest in this type of solution,” said Peter Hörstedt, CEO and co-founder of Arkeon, noting the increasing need to optimize chips without complete manufacturing overhauls. Arkeon currently has letters of intent from approximately 30 potential customers, signaling early market validation for its approach. Arkeon Technologies Secures €594,200 Seed Funding for Quantum Chip Precision Arkeon Technologies’ recent €594,200 Seed round signals investment in addressing a critical bottleneck in quantum computing: chip precision. This approach differs from traditional methods requiring complete redesigns when minor production inconsistencies arise, potentially saving manufacturers both cost and time. Founded by Peter Hörstedt, Andreas Nylander, and Marcus Rommel, Arkeon tackles the issue of qubit frequency variations that can plague superconducting quantum chips, impacting both accuracy and overall yield. The company’s core innovation lies in its ability to fine-tune these frequencies after the chips are manufactured, creating more stable and reproducible systems. David Storek, Investment Director at Chalmers Ventures, highlighted the company’s promise, stating that the company intends to use the funding to accelerate development, validate its technology with customers, and prepare for international expansion. Post-Fabrication Tuning Adjusts Qubit Frequencies & Improves Yield Beyond achieving higher qubit counts, a significant challenge in scaling superconducting quantum computers lies in manufacturing consistency; even minute variations during chip fabrication can dramatically