- D-Wave’s hybrid solver plug-in enables developers to more easily incorporate quantum into feature selection and machine learning workflows
- D-Wave’s quantum applications cover problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, fault detection, and financial modeling
- According to International Data Corporation (“IDC”), 78% of organizations believe that AI-driven projects significantly, or very significantly, impact business outcomes(1)
D-Wave Quantum (NYSE: QBTS), a leader in quantum computing systems, software, and services, and the world’s first commercial supplier of quantum computers, recently announced a new hybrid solver plug-in for feature selection as a part of its focus on helping companies leverage quantum technology to streamline the development of machine learning applications (https://ibn.fm/IEM2a).
The new hybrid solver plug-in for D-Wave’s Ocean(TM) SDK enables developers to more easily incorporate quantum into feature selection and machine learning workflows, seamlessly integrating with scikit-learn, an industry-standard state-of-the-art machine learning library for Python, which is…
NOTE TO INVESTORS: The latest news and updates relating to QBTS are available in the company’s newsroom at https://ibn.fm/QBTS
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