Quantum Art Extends Series A to $140 Million to Advance Commercial Quantum Computing

Quantum Art, a developer of full-stack trapped-ion quantum computers, has extended its Series A financing to $140 million, up from the $100 million announced in December 2025. The round was led by Bedford Ridge Capital along with new investors Hudson Bay Capital, Poalim Equity, LIP Ventures, Wolverine Global Ventures, and IDA Ventures. The strong investor demand underscores confidence in Quantum Art's architecture and its path to commercial-scale quantum computing.

The new capital will accelerate development of Perspective, Quantum Art's 1,000-qubit multi-core system, and support advanced optical technologies for massive qubit scaling. The funding will also advance the company's 2D architecture roadmap and global business development. Dr. Tal David, CEO and co-founder, stated that the funding will enable the company to strengthen core technologies and grow its global team as it moves toward commercialization.

Michael Reidler, Investment Partner at Bedford Ridge Capital, highlighted scalability as the defining challenge in quantum computing and noted that Quantum Art's architecture is designed to overcome scaling constraints. Etai Kramer, Managing Director at Poalim Equity, emphasized the importance of scaling without compromising performance and expressed support for Quantum Art's role in Israel's quantum ecosystem.

Quantum Art is entering its commercialization phase, transitioning from technology development to market deployment. The company plans to launch a Quantum as a Service (QaaS) offering, which will serve as a central pillar of its go-to-market strategy. The QaaS platform aims to bridge early-stage use-case development with scalable access to quantum hardware, enabling customers to progress from algorithm exploration to execution on live systems. In parallel, Quantum Art is expanding its global footprint and building strategic partnerships.

Quantum Art, founded in 2022 as a spin-off from the Weizmann Institute of Science, develops full-stack trapped-ion quantum computing systems for optimization, simulation, and advanced computing. For more information, visit https://www.quantum-art.tech/.