Mahout
Visit ToolMahout is an open-source environment for creating scalable, performant machine learning applications. It provides tools for building quantum circuits and encoding classical data into quantum states.
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Mahout is an open-source environment for creating scalable, performant machine learning applications. It provides tools for building quantum circuits and encoding classical data into quantum states.
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About
Apache Mahout is an open-source project designed to facilitate the rapid creation of scalable and performant machine learning applications. While historically known for classical machine learning algorithms like collaborative filtering, clustering, and classification, the project has evolved significantly. The current focus includes Qumat, a high-level Python library for quantum computing, enabling users to build quantum circuits with standard gates and run them on various backends like Qiskit, Cirq, or Amazon Braket. Additionally, it features QDP (Quantum Data Plane) for GPU-accelerated encoding of classical data into quantum states, supporting zero-copy tensor transfer with PyTorch, NumPy, and TensorFlow. This makes Mahout a versatile tool for both traditional and emerging quantum machine learning applications.
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Open Source
Free
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