Multiverse Computing has announced the integration of its Singularity Machine Learning Classification tool within IBM’s Qiskit Functions Catalog. As one of the first third-party tools in Qiskit, Singularity ML leverages quantum machine learning (QML) for supervised learning tasks, targeting developers, researchers, and data scientists in IBM’s global Quantum Network. This integration is expected to simplify the creation of custom machine learning models by enabling users to develop quantum-based solutions without overhauling existing processes.
Singularity ML offers seamless compatibility with standard machine learning libraries, providing accelerated development of use case-specific quantum solutions. IBM Quantum Premium Plan users across sectors such as healthcare, life sciences, and materials science now have access to this tool, expanding the potential applications for quantum computing in real-world AI and optimization challenges.
Enrique Lizaso Olmos, CEO of Multiverse Computing, noted that integrating Singularity ML into IBM’s ecosystem broadens access to quantum machine learning, offering businesses a means to enhance competitive advantage with quantum tools. IBM’s Scott Crowder, VP of Quantum Adoption and Business Development, highlighted the catalog’s role in accelerating quantum application development through partnerships like this.
For more information, you can view a press release posted on the Multiverse Computing website here.
November 13, 2024
