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multi-output-regression

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This repository hosts code for a thesis on learning full output distributions of quantum circuits using Transformer-based Graph Neural Networks. It includes dataset generation under noiseless and noisy settings, circuit feature engineering, GNN and CNN modeling, transfer learning across qubit sizes, and model evaluation.

  • Updated Jul 24, 2025
  • Jupyter Notebook

Designed as a training document explaining how to apply the multi-output method in time series forecasting. This means a single model can simultaneously predict multiple future values. more stable results than the recursive method.

  • Updated Nov 29, 2025
  • Jupyter Notebook

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