QuMat: Apache Mahout's Quantum Computing Interface

Apache Mahout (https://mahout.apache.org) is a linear algebra library for building machine learning solutions, and up until this year focused on compute back-ends such as Spark and Flink for processing training data into predictions. More recently the project has adopted quantum compute back-ends as well. The QuMat (https://github.com/apache/mahout?tab=readme-ov-file#qumat) library is a Python-based interface to multiple quantum computing systems, starting with IBM's Qiskit, which allows researchers and developers to assemble quantum logic gates into circuits that can run on simulators as well as utility-scale quantum computers. This talk will provide a brief introduction to quantum computing, including the data structures used along with some basic logic gates (https://github.com/apache/mahout/blob/main/docs/basic_gates.md), and will demo QuMat software running in a notebook that will be shared after the talk.