Quantum Art Extends Series A to $140M to Scale Trapped-Ion Architecture
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Quantum Art Extends Series A to $140M to Scale Trapped-Ion Architecture Quantum Art, an Israeli-based developer of full-stack trapped-ion quantum computers, has extended its Series A financing to $140 million. Led by Bedford Ridge Capital, the extension follows an initial $100 million round announced in December 2025 and includes new participation from Hudson Bay Capital, Poalim Equity, LIP Ventures, Wolverine Global Ventures, and IDA Ventures. The capital is designated for the development of Perspective, the company’s 1,000-qubit multi-core system, and the advancement of optical technologies required for large-scale qubit scaling. Founded in 2022 as a spin-off from the Weizmann Institute of Science, Quantum Art utilizes a 2D trapped-ion architecture designed to overcome the connectivity and scaling limitations common in linear trap designs. The company is now entering its commercialization phase, which includes the launch of a Quantum as a Service (QaaS) platform. This offering is intended to provide customers with a staged path from algorithm co-development to execution on live hardware, serving as a bridge to the eventual deployment of stand-alone, on-premises systems. The funding will also support the expansion of the company’s global business development team and its 2D architecture roadmap. CEO Dr. Tal David noted that the investment reflects a transition from foundational technology development to market deployment. By focusing on multi-core modularity, Quantum Art aims to maintain qubit performance—specifically high gate fidelities—as it increases system capacity for industrial-scale applications in optimization and simulation. You can find the official announcement regarding the Series A extension here and refer to our previous coverage of the initial $100 million Series A round here. April 27, 2026 Mohamed Abdel-Kareem2026-04-27T07:28:25-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.