We are excited to announce QuMat v0.5.0, the next release of Mahout's quantum machine learning stack. The main theme of this release is moving QuMat from a circuit abstraction into a more complete quantum ML development platform. The releas…
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Introducing Qumat! (An Apache Mahout Joint) There seem to be as many quantum computing languages as there are quantum computers. IBM’s qiskit attempts to address this by providing interfaces to multiple backends, but do we really want a ven…
Author: Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko This article presents a study on quantum machine learning models and their comparison to classical models. The authors propose
Author: Zhiding Liang, Jinglei Cheng, Rui Yang, Hang Ren, Zhixin Song, Di Wu, Xuehai Qian, Tongyang Li, Yiyu Shi This paper discusses the potential of large language models (LLMs), specifically generative pretrained transformers (GPTs), in
Apache Mahout is for Mathematicians (or statisticians, or data scientists, etc.). We understand not all users are up to cloning and building from source, working with command line interfaces, and other such engineering tasks. In that thread…
Trevor has been doing some serious overhauling on the Apache Mahout entry on Wikipedia. However, he’d appreciate it if people could fill out sections, especially if they have expertise. Further- we would like to add architecture diagrams- b…
Oh happy day! A lot of work went into this release with getting the build system to work again so that we can release binaries. There really weren't too many new features over 14.0, but binaries now exist in Maven. On another note, we had a…
We were under pressure to release a "version above 1.0" which seemed sort of arbitrary to us. We decided to just stick with our original schema, but take it x10. Our last release was 0.14.0, and thus this release is 14.1. So if you're wonde…
Hey all! We're preparing for Mahout version 14.1. This release might not seem super exciting from a user perspective (except we're bumping Apache Spark to version 2.x and Scala to version 2.11) but it includes some very important 'behind th…
Getting started with Qumat is easy, thanks to the simplified installation process. You can install Qumat by choosing one of the following methods. For development or to get the latest changes, use uv: The project uses uv to handle dependenc…
The Apache Mahout community consists of developers, users, data scientists, researchers, and open-source contributors who collaborate to build scalable machine-learning libraries on the Apache platform. Mahout follows the principles of the