Multiverse Computing, a leader in quantum AI software, has launched Singularity Machine Learning – Classification within IBM’s Qiskit Functions Catalog. This new cloud service allows developers, researchers, and data scientists to train and run AI models using quantum machine learning (QML) with ease, accelerating the development of quantum solutions for various industries.
1. Introducing Singularity Machine Learning
- Singularity ML, now part of IBM’s Qiskit Functions Catalog, enables users to solve supervised learning problems using quantum machine learning (QML). This cloud service simplifies the training and running of new AI models, offering the best Quantum Processing Unit (QPU) results observed by Multiverse Computing to date.
- Singularity ML integrates seamlessly with standard machine learning (ML) libraries, allowing developers to design custom solutions without disrupting existing workflows.
2. Benefits of Quantum Machine Learning
- Singularity ML leverages quantum computing power to enhance the speed and efficiency of developing AI models, offering new opportunities for businesses to leverage quantum techniques to gain a competitive edge.
- By using quantum computing for AI model training, users can accelerate the development of use case-specific quantum solutions, making quantum computing more accessible to a broader audience.
3. Seamless Integration with IBM’s Quantum Ecosystem
- As one of the first third-party services offered within IBM’s Qiskit Functions, Singularity ML gives users access to IBM’s quantum compute power for advanced applications across industries like healthcare, high-energy physics, materials development, optimization, and sustainability.
- IBM Quantum Premium Plan users will now have access to this advanced tool, enabling a wide range of users to build quantum machine learning models and advance applications in various sectors.
4. Advancing Quantum Applications Across Industries
- Multiverse Computing aims to expand quantum machine learning’s practical applications across multiple industries, including healthcare, life sciences, optimization, and more. The company’s collaboration with IBM offers an essential platform for scaling and applying quantum computing to solve real-world problems.
- Scott Crowder, Vice President at IBM, expressed enthusiasm for the potential of Singularity ML to push the boundaries of quantum machine learning models as quantum systems continue to grow in power.
5. Future Prospects in Quantum Machine Learning
- As quantum computing continues to evolve, Multiverse Computing is working to bring scalable quantum solutions to developers across industries, enhancing the use and impact of quantum machine learning models in commercial and research applications.
The launch of Singularity Machine Learning within IBM’s Qiskit Functions Catalog marks a significant milestone in the development of quantum AI. By providing a powerful tool for training and deploying quantum machine learning models, Multiverse Computing is poised to drive innovation in industries from healthcare to sustainability, unlocking new possibilities for practical quantum computing applications.

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