Imagine trying to tune a guitar where the strings change pitch every second; that is how hard it is to run a quantum computer. This project builds a smart 'cruise control' system that uses machine learning to automatically tune these machines. It removes the guesswork, making these powerful computers stable and easier to use for everyone.
Quantum devices are noisy and difficult to calibrate, requiring repetitive testing and complex statistics. This creates a high barrier to entry that favors only the largest tech giants.
QruiseOS, a vertically integrated software demonstrator featuring a cloud-based graph database for stack models and ML-driven tools for pulse shaping and device calibration.
If you are a chip manufacturer dealing with noisy results and slow device calibration — this project developed QruiseOS that automates the characterization of multi-qubit chips. This allows you to bring hardware online faster and with higher precision.
If you are a research lab dealing with the high cost of accessing stable quantum simulations — this project developed a vertically integrated software stack that accelerates technology development. This enables smaller labs to compete with large industry players in simulating molecular dynamics.
If you are a fund dealing with the instability of early-stage quantum optimization tools — this project developed reinforcement-learning based pulse shaping. This improves the reliability of the quantum hardware used for complex financial modeling.
Based on available project data, specific pricing is not listed, but the project is preparing a detailed business plan to move toward commercial scale-up.
The project aims to reach TRL 7-8 via the EIC accelerator program to prepare for commercial scale-up (TRL 9) after the current phase.
The project includes establishing an IP strategy as part of its steps for full commercial readiness.
It provides a cloud-based graph database to manage quantum computing stack models and a vertically integrated workflow for device characterization.
The project runs from 2023-01-01 to 2025-09-30, focusing on moving the technology from TRL 5 to TRL 6.
The project is led by a single German SME, Qruise GmbH, which is a spin-off from high-profile research institutions (Forschungszentrum Jülich and Padova University). With a 100% industry ratio and a focused single-partner structure, the project is streamlined for rapid commercialization rather than academic exploration.
Contact QRUISE GMBH in Germany
Contact us to connect with the QruiseOS team for pilot integration.
