Qumat: Apache Mahout Quantum Compute
summary
Mahout adds a new Qumat layer that treats quantum circuits as complex-valued matrix chains so algorithms written once run on multiple backends (qiskit, cirq, braket) without rewrite. Implementation pivots to Python, ships logic gates and a circuit DSL, and has a Colab notebook demo that launches from GitHub and executes on simulators and hardware; version 0.4 is out and an unauthorized PyPI release exists while the official pip install qumat rollout completes. Roadmap centers on building quantum machine learning primitives alongside Samsara compatibility.
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chapters (15)
- 0:00Introduction and presenters
- 1:51About the speakers
- 4:40Who we are not
- 5:42Apache Mahout history
- 8:51Quantum computing basics
- 11:00Motivation for QMAT
- 13:31QMAT architecture overview
- 17:05QMAT backend abstraction
- 19:13Python pivot and current state
- 20:17Next steps and roadmap
- 22:02Demo and getting started
- 25:36Visualizing quantum circuits
- 27:24Use cases and future plans
- 28:28How to get involved
- 31:59Q&A and closing
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