ProductUpdated on 6 March 2025
QML platform
About
Quantum Machine Learning (QML) platform provide a comprehensive environment for developing, experimenting with, and deploying quantum-enhanced machine learning models. Our platform integrates quantum computing techniques with classical AI, enabling users to explore new computational paradigms beyond traditional machine learning approaches.
Our QML platform offers tools, frameworks, and simulation environments for designing hybrid quantum-classical neural networks, optimizing algorithms, and benchmarking performance against classical models. We support various quantum computing architectures, including gate-based quantum processors and quantum annealers, ensuring adaptability to different quantum hardware backends.
Designed for researchers, data scientists, and industry professionals, our platform facilitates the exploration of quantum advantages in tasks such as pattern recognition, optimization, and generative modeling. By providing a seamless interface between quantum and classical machine learning, Our QML platform drives innovation and accelerate the adoption of quantum technologies in AI applications.
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Georgios Stavroulakis
Professor, Institute Director, Technical University of Crete at Technical University of Crete, Computational Mechanics and Optimization Lab
Chania, Greece
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AI Software Development by Innovation Bee
- ICT
- Medtech
- Consulting
- Development
- Artificial Intelligence (AI)
- Smart cities / Smart industry
- Virtual and Augmented Reality (VR & AR)
Christos Roumeliotis
Co-Founder & CEO at Innovation Bee
Athens, Greece
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- Others
- Development
- Artificial Intelligence (AI)
- Smart cities / Smart industry
George Liapis
CoFounder at RealMINT
Thessaloniki, Greece