QuantrolOx is the developer of Quantum EDGE software for qubit and quantum processor tune-up automation. QuantrolOx envisions a world where every quantum computer is fully automated, allowing quantum scientists to spend less time tuning qubits and more time advancing quantum computing. This approach accelerates the path to practical quantum computers.

Quantum EDGE integrates with major quantum hardware providers by building on open-architecture principles. This enables organizations to select the best components for their quantum systems, ensuring flexibility and optimal performance in their quantum technology endeavors.

In the ARCTIC project, QuantrolOx is responsible for developing machine learning-based algorithms for characterizing CMOS quantum dot devices from SemiQon and Quobly and developing algorithms for controlling qubits on these devices.

QuantrolOx will integrate these characterization and control algorithms into two test systems developed in WP6, with one system hosted at TNO and the other at Qblox.

In addition to this technical work, QuantrolOx spearheads Demonstrator 7.L, which showcases qubit control capabilities in CMOS quantum dot devices. We are also contributing to Demonstrator 7.O, which focuses on high-throughput characterization of these devices.

More information on www.quantrolox.com