Mahout
Apache Mahout is a project for building scalable machine learning applications, with Qumat as a Python library for quantum computing integration.
Score
30
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Apr 24, 2026
Overview
What is Mahout?
Apache Mahout is an open-source project focused on creating scalable and performant machine learning applications. It includes Qumat, a high-level Python library for quantum computing that provides tools like Qumat Core for building quantum circuits and QDP for encoding classical data into quantum states with GPU acceleration.
What is Mahout used for?
Top Features
- Scalable machine learning environment
- Quantum computing Python library
- Unified API for multiple quantum platforms
- GPU-accelerated data encoding
- Open-source and community-driven
How to use Mahout?
Install Qumat via pip, use its unified API to build quantum circuits with standard gates, run them on platforms like Qiskit or Amazon Braket, and leverage GPU-accelerated kernels for data encoding in machine learning workflows.
Alternative Tools
No alternative tools found
Pros & Cons
Pros
- Free and open-source
- High customizability for developers
- Supports multiple quantum backends
- GPU acceleration for performance
- Active community support
Cons
- Requires quantum computing knowledge
- Primarily for developers and researchers
- Limited to Python ecosystem
Use Cases
- Building machine learning applications with quantum integration
- Research in quantum computing and AI
- Educational projects in quantum machine learning
Mahout Pricing
Free Plan
No detailed pricing information available
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