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UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://ml-nexus.vercel.app/
MIT License
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Feature request: Creating an Quantum Circuit Probability Predictor using concepts of advanced Machine Learning #835

Open Panchadip-128 opened 2 weeks ago

Panchadip-128 commented 2 weeks ago

Is your feature request related to a problem? Please describe. The Quantum Circuit Probability Predictor is a machine learning-based application designed to predict the probability of measuring a specific quantum state after applying a series of quantum gates to a qubit. Leveraging the principles of quantum mechanics and classical machine learning, this project aims to create a robust model that accurately estimates the probabilities associated with different quantum states resulting from varied input parameters.

Describe the solution you'd like A machine learning model is trained on the computed probabilities to predict outcomes for angles not seen during training, enabling the model to generalize well to new inputs.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Approach to be followed (optional) A clear and concise description of the approach to be followed.

Additional context Add any other context or screenshots about the feature request here.

github-actions[bot] commented 2 weeks ago

Thanks for creating the issue in ML-Nexus!🎉 Before you start working on your PR, Pull the latest changes to avoid any merge conflicts.