Show HN: Live Quantum Circuits Visualizator for Reinforcement Learning

Category: ai-ml

Tags: quantum-computing, reinforcement-learning, visualization, q-learning, variational-quantum-circuits

Score: 5.5/10 (Innovation: 6, Technical: 6, Documentation: 6, Utility: 4)

A Jupyter Notebook-based project that visualizes variational quantum circuits as action-value functions in reinforcement learning for the FrozenLake environment, with a live GUI showing circuit parameters, gradients, and training metrics. It includes a fix for a bug in the original VQC implementation and provides reproducibility features.

Target audience: quantum machine learning researchers, reinforcement learning practitioners

Repository: https://github.com/SorBalda/Reinforcement-Learning-SARSA-Q-LEARNING-DEEP-Q-LEARNING · Jupyter Notebook · 2 stars

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