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1. DA6300-2025 DA6300-2025 Public

   Content related to the Jan-May 2025 session of the course DA6300: Quantum Computing and Machine Learning

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2. Automated-Discovery-and-Optimization-of-Quantum-Error-Correction-Codes-Using-ML Automated-Discovery-and-Optimization-of-Quantum-Error-Correction-Codes-Using-ML Public

   Jupyter Notebook

3. qiskit-ML-workspace qiskit-ML-workspace Public

   Forked from qiskit-community/qiskit-machine-learning

   A dataset generation framework for Qiskit Machine Learning, similar to Iris/MNIST in classical ML, is being developed by this group (Shailesh ME22B192, Nishant ME21B132, Rishi EE21B111). These data…

   Python

4. Quantum-Circuit-Optimization-using-AlphaTensorQuantum Quantum-Circuit-Optimization-using-AlphaTensorQuantum Public

   In NISQ era, quantum circuit depths are very crucial for quantum computational advantage. The most expensive gates in terms of T1 decoherence time are the Non-Clifford gates, especially the T-gate.…

   Jupyter Notebook

5. GQE_For_Drug_Prediction GQE_For_Drug_Prediction Public

   Python

6. Quantum_random_forest Quantum_random_forest Public

   A kernel-based quantum random forest for improved classification

   Jupyter Notebook