Kipu Quantum Launches Rimay for Industrial Quantum-Enhanced Machine Learning

Kipu Quantum, a Berlin-based developer of quantum software applications, has announced the general availability of Rimay, a quantum-enhanced feature extraction service. Designed to integrate into existing classical machine learning (ML) pipelines, Rimay aims to improve model accuracy by extracting "higher-order" data correlations that are typically inaccessible to classical algorithms. The product launch marks a transition from experimental demonstrations toward operational industrial deployment, specifically targeting scenarios involving scarce, noisy, or imbalanced datasets.

The technical core of Rimay utilizes digitized counterdiabatic driving to evolve quantum systems rapidly, bypassing current hardware noise constraints. This protocol leverages k-local many-body spin dynamics to capture both linear variable-to-variable contributions and complex multi-correlations within the data. These quantum-extracted features are then fed back into classical ML models, reducing the risk of overfitting and enhancing predictive power. The service is currently optimized for IBM Quantum’s 156-qubit processors, pushing feature mapping beyond the limits of classical simulation.

Through early enterprise validations on the Kipu Quantum Hub, the company reported measurable performance gains over purely classical baselines:

The launch is supported by a strategic partnership with IBM Quantum. Scott Crowder, VP of IBM Quantum Adoption, noted that IBM’s global fleet provides the necessary digital hardware for industries to explore these benefits as technology scales. Rimay joins Kipu’s existing suite of tools on the Kipu Quantum Hub, including the Illay and Miray quantum optimizers. According to Enrique Solano, CEO of Kipu Quantum, the objective is to provide "industrial quantum usefulness" by delivering immediate competitive advantages in sectors where data quality or volume is a limiting factor.

For further technical details, view the official announcement here or request access to the service via the Kipu Quantum Hub here.

February 17, 2026