Quantum Art, a developer of full-stack quantum computers based on trapped-ion qubits and a proprietary scale-up architecture, has closed a $100 million series A funding round. The investment accelerates the company's path toward commercializing its systems, achieving quantum advantage, scaling its platform to enable quantum processors with thousands of qubits, and supporting Quantum Art's expansion from early revenues into significant commercial scale. Quantum Art's technology leverages its Perspective system, a 1000-qubit multi-core system aimed at achieving quantum advantage, and supports prototyping of the company's third-generation 2D architecture targeting thousands of qubits for high-impact, real-world applications. The company's architecture uses reconfigurable, multi-core trapped-ion chains that preserve high connectivity as systems grow. Multi-qubit gates compress complex operations into a single step, while dynamic reconfigurable optical segmentation enables parallel computing regions within the same ion chain with optimal connectivity. The platform’s dense 2D arrays are designed to enable significant qubit scaling while preserving a compact system footprint. According to the company the combination of these capabilities forms a platform engineered for practical scalability and high-performance quantum algorithms. Quantum Art was founded in 2022 as a spin-off from the Weizmann Institute of Science. The company published a multiyear roadmap outlining its goals for progress as it positions itself to provide quantum-as-a-service (QaaS) via the cloud as well as providing on-premises stand-alone quantum systems. Earlier this year, Quantum Art launched its first-generation Montage Series QaaS system of up to 50 qubits. The company also demonstrated a fully controlled trapped-ion chain of 200 ions in July. According to its roadmap, by 2027 Quantum Art expects to reach commercial quantum advantage with the launch of its Prospective Series system, with its next milestone planned for 2029 with the launch of its dense 2D QPUs of its Landscape Series.
