eleQtron is a German deep-tech startup spun-off from the Department of Quantum Optics at the University of Siegen. It develops, produces, and operates quantum computers based on trapped ion technology. Its proprietary MAGIC (MAgnetic Gradient Induced Coupling) technology allows for precise control of ion qubits using radio frequency waves instead of lasers, enabling scalability and low crosstalk between qubits. This approach simplifies the hardware scaling required for increasing qubit numbers.
eleQtron plans to offer subscription-based access to its quantum computers for solving optimization problems and complex calculations in fields like quantum chemistry and logistics. By the end of 2024, the company aims to complete its first in-house developed quantum computer with up to 30 trapped ion qubits. Additionally, three other quantum computers are already in production for customers, including two for the German Aerospace Center (DLR). In March 2024, eleQtron secured a EUR 21 million (USD 23 million) funding from the North Rhine-Westphalia state government to develop a modular quantum supercomputer in partnership with Forschungszentrum Jülich. The system is expected to be available to users from 2025 in hybrid high-performance and quantum computing mode.
Key customers and partnerships
In June 2023, eleQtron partnered with Infineon Technologies AG to jointly develop trapped ion Quantum Processor Units (QPUs) for scalable quantum computers. Infineon will provide eleQtron with three generations of progressively improved ion traps and expertise to adapt them to the MAGIC concept. The resulting quantum computers will be made available to industrial and scientific users via cloud access.
In May 2024, eleQtron, NXP Semiconductors, and ParityQC revealed the first full-stack, ion-trap based quantum computer demonstrator made entirely in Germany. Commissioned by the DLR Quantum Computing Initiative (DLR QCI), this demonstrator will enable early access to quantum computing resources for companies and research teams in applications like climate modeling, logistics, and materials sciences.
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