Nim Quantum ML

COMP47950 Course Project

Compare classical ML, simulated QML (VQC and QSVM), and inference-only IBM Quantum evaluation on Nim classification.

Nim QML Demo

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Classical vs Quantum

Side-by-side evaluation of classical baselines, variational quantum classifiers (VQC), and quantum SVM (QSVM) on Nim states.

Interactive Nim Demo

Streamlit app to play Nim, explore board states, and compare model predictions in real time.

IBM Quantum Inference

Inference-only runs on IBM Quantum hardware, separate from simulated training pipelines.

Reproducible Research

Importable qml_project package, Jupyter notebook report, and MLflow experiment tracking.

Tech Stack

Python
Qiskit
Streamlit
MLflow
Jupyter

About This Project

This COMP47950 submission compares classical machine learning, simulated quantum models, and IBM Quantum inference on a Nim classification task. The main deliverable is the implementation notebook and report in the repository.

Source code lives in the comp47950-qml-project repository, including the importable qml_project package under src/.

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