Added quantum circuit probability predictor #842
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UppuluriKalyani
approved these changes
Nov 9, 2024
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🎉🎉 Thank you for your contribution! Your PR #842 has been merged! 🎉🎉 |
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Related Issues or bug
Fixes: #[issue number that will be closed through this PR]
Proposed Changes
Quantum Circuit Simulation:
Utilizing Qiskit's advanced quantum simulation capabilities, the project creates quantum circuits that implement rotations around the X-axis based on user-defined angles.
State Probability Calculation:
The application computes the probabilities of measuring the |0⟩ and |1⟩ states for various angles, using statevector sampling to retrieve the state vector of the quantum circuit after the operations are performed.
Model Training:
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.
Interactive Visualization:
The project features an intuitive interface that allows users to input angles and visualize the resulting probabilities and model predictions, enhancing the understanding of quantum state dynamics.
Educational Tool:
This project serves as an educational resource for students and enthusiasts interested in quantum computing and machine learning, demonstrating the intersection of these fields through hands-on experience.
Technologies Used:
Quantum Computing Framework: Qiskit Machine Learning: Python, NumPy, and relevant ML libraries (e.g., scikit-learn, TensorFlow, or PyTorch) Data Visualization: Matplotlib or similar libraries for plotting probabilities and predictions User Interface: Streamlit or Flask for creating a web application interface (to be deployed soon after making model more optimized)
Closes issue: #835
Additional Info
Screenshots