Apache Mahout

aid: apache-mahout
name: Apache Mahout
description: Apache Mahout is an open-source framework for building scalable machine learning applications. The project has
  evolved to include Qumat, a unified Python API for building quantum circuits that runs across multiple quantum backends
  including Qiskit, Cirq, and Amazon Braket, along with QDP for GPU-accelerated classical-to-quantum data encoding.
type: Index
position: Consumer
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- Distributed Computing
- Machine Learning
- Python
- Quantum Computing
- Scala
created: '2026-03-16'
modified: '2026-04-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-mahout/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: apache-mahout:qumat
  name: Qumat
  description: Qumat is a unified Python API for building and executing quantum circuits across multiple quantum computing
    backends including Qiskit, Cirq, and Amazon Braket. It provides a hardware-agnostic interface for quantum gate operations,
    parameterized circuits, measurement, and state vector retrieval.
  humanURL: https://mahout.apache.org/docs/qumat
  tags:
  - Python
  - Quantum Computing
  - Quantum Circuits
  properties:
  - type: Documentation
    url: https://mahout.apache.org/docs/qumat
  - type: APIReference
    url: https://mahout.apache.org/docs/qumat/api
  - type: GettingStarted
    url: https://mahout.apache.org/docs/qumat/getting-started
  - type: SDKs
    url: https://pypi.org/project/qumat/
    title: Python SDK (PyPI)
  - type: GitHubRepository
    url: https://github.com/apache/mahout
- aid: apache-mahout:apache-mahout-samsara
  name: Apache Mahout Samsara
  description: Mahout Samsara is a distributed linear algebra DSL in Scala for building machine learning algorithms on Apache
    Spark. It provides matrix decompositions, collaborative filtering, clustering, and other algorithms as a mathematically
    expressive API.
  humanURL: https://mahout.apache.org/docs/latest/
  tags:
  - Distributed Computing
  - Linear Algebra
  - Machine Learning
  - Scala
  - Spark
  properties:
  - type: Documentation
    url: https://mahout.apache.org/docs/latest/
  - type: GitHubRepository
    url: https://github.com/apache/mahout
common:
- type: Portal
  url: https://mahout.apache.org/
- type: GitHubOrganization
  url: https://github.com/apache
- type: GitHubRepository
  url: https://github.com/apache/mahout
- type: IssueTracker
  url: https://issues.apache.org/jira/browse/MAHOUT
- type: MailingList
  url: https://mahout.apache.org/docs/community/mailing-lists
- type: TermsOfService
  url: https://www.apache.org/licenses/LICENSE-2.0
- type: Features
  data:
  - name: Hardware-Agnostic Quantum API
    description: Qumat provides a unified API that runs the same quantum circuit code on Qiskit, Cirq, and Amazon Braket backends
      without modification.
  - name: Quantum Gate Operations
    description: Complete library of single-qubit gates (H, X, Y, Z, T, Rx, Ry, Rz, U) and multi-qubit gates (CNOT, Toffoli,
      SWAP, CSWAP).
  - name: Parameterized Quantum Circuits
    description: Support for symbolic parameters in rotation gates for variational quantum algorithms and quantum machine
      learning.
  - name: GPU-Accelerated Data Encoding
    description: QDP provides zero-copy tensor transfer for encoding classical data into quantum states with GPU acceleration.
  - name: Distributed Linear Algebra
    description: Samsara DSL enables large-scale matrix operations distributed across Apache Spark clusters.
  - name: Collaborative Filtering
    description: Distributed recommendation algorithms including ALS-based collaborative filtering for large-scale datasets.
  - name: Clustering
    description: Distributed K-Means, fuzzy K-Means, and spectral clustering algorithms running on Spark.
  - name: Dimensionality Reduction
    description: Distributed SVD, PCA, and random projection methods for large-scale feature reduction.
- type: UseCases
  data:
  - name: Quantum Machine Learning
    description: Build variational quantum algorithms and quantum neural networks using parameterized circuits via the Qumat
      API.
  - name: Quantum Algorithm Research
    description: Prototype and test quantum algorithms across different hardware backends without rewriting circuit code.
  - name: Large-Scale Recommendation
    description: Build distributed recommendation systems processing billions of user-item interactions using Mahout on Spark.
  - name: Distributed Clustering
    description: Cluster large datasets using distributed K-Means and other algorithms running on Apache Spark.
- type: Integrations
  data:
  - name: Qiskit
    description: IBM Qiskit quantum computing framework as a Qumat execution backend for IBM quantum hardware and simulators.
  - name: Cirq
    description: Google Cirq quantum computing framework as a Qumat execution backend for Google quantum hardware.
  - name: Amazon Braket
    description: AWS Braket quantum computing service as a Qumat execution backend for cloud quantum hardware.
  - name: Apache Spark
    description: Primary distributed computing backend for Mahout Samsara linear algebra and machine learning algorithms.
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com