Insider Brief
- Kipu Quantum announced general availability of Rimay, a quantum feature extraction service designed to enhance classical machine learning model performance.
- Rimay integrates into existing ML pipelines and has been deployed on IBM Quantum hardware, with reported accuracy improvements across industrial use cases including credit risk, predictive maintenance, and leak detection.
- The service is available via the Kipu Quantum Hub alongside Illay and Miray, expanding the company’s quantum machine learning toolkit for enterprise applications.
PRESS RELEASE — Kipu Quantum, a leading provider of quantum software applications, today announced general availability of Rimay Quantum Feature Extraction, a service proven to boost the performance of classical machine learning (ML) models. Rimay integrates into existing ML pipelines and enhances model accuracy by extracting richer quantum features from the same data. This applies particularly to cases where data is scarce, noisy, or imbalanced.
Enterprise users across manufacturing, financial services, life sciences, and energy have already seen evidence of value when using Rimay on IBM Quantum hardware, demonstrating the potential of quantum computers to improve workflows as the technology matures.
High Impact Results Across Sectors
Rimay has supported customer projects, including:
- Komatsu Peru and NTT Data Latam and Europe used Kipu to get trustworthy predictive maintenance insights from scarce equipment data.
- KPMG used Rimay to classify tree species from limited satellite imagery, delivering clearer quantum-enhanced environmental intelligence.
- Moeve used Kipu’s technology to analyse thermal imaging and quantum-enhanced leak detection in oil & gas pipelines.
Organisations have also seen results across a wide range of other industry use cases:
- Credit risk assessment: +5% accuracy vs classical models
- Oil pipeline leak detection: +13% balanced accuracy
- Molecule toxicity prediction: +5–10% accuracy
- Semiconductor fault detection: +20% accuracy
- Drug-induced autoimmune reaction prediction: +7% accuracy
- Company bankruptcy prediction: +4% predictive performance improvement
How It Works: Quantum for Machine Learning
Rimay Quantum Feature Extraction operates as a closed-loop ecosystem where Classical AI and Quantum Computing continuously amplify one another. By mapping complex datasets into a quantum state space, Rimay exposes hidden patterns and high-order correlations that are mathematically invisible to classical computers. At its core, the feature extraction protocol employs digitized counterdiabatic driving to rapidly evolve the system, bypassing typical noise constraints to leverage k-local many-body spin dynamics. These capture both linear variable-to variable contributions and higher-order multi-correlations, signal that classical models miss and as a result overfit, and feed them back as superior features to maximize ML performance. Results validate the potential value of integrating IBM’s 156-qubit processors across image, tabular, and time series data over purely classical methods. Rimay converts theoretical quantum dynamics into practical, immediate industrial quantum usefulness that scales along with hardware roadmaps.
Scott Crowder, VP IBM Quantum Adoption stated: “IBM offers a global fleet of quantum computers today over the cloud, which industries are using today to explore the benefits quantum is poised to deliver as it scales. We look forward to working with Kipu and our ecosystem to uncover new ways quantum computing can be integrated into computing architectures and transform our approach to problems.”
Enrique Solano, CEO of Kipu Quantum: “We started Kipu to deliver measurable value to industry with quantum computers. Not in five years, but now. When our customers in predictive maintenance, finance, and life sciences consistently outperform their classical baselines using quantum-enhanced features at the quantum advantage level, that is industrial quantum usefulness. Rimay now joins Illay and Miray on the Kipu Quantum Hub, where quantum becomes a competitive advantage, you subscribe to.”
Rimay is now available on the Kipu Quantum Hub, alongside other quantum services like Illay and Miray Quantum Optimizers. Rimay is the first module of Kipu’s growing QML toolkit.
For more information or to request access, you can visit – https://hubspot.kipu-quantum.com/rimay
