QuantumAI-IITM
Popular repositories Loading
-
DA6300-2025
DA6300-2025 PublicContent related to the Jan-May 2025 session of the course DA6300: Quantum Computing and Machine Learning
-
Automated-Discovery-and-Optimization-of-Quantum-Error-Correction-Codes-Using-ML
Automated-Discovery-and-Optimization-of-Quantum-Error-Correction-Codes-Using-ML PublicJupyter Notebook
-
qiskit-ML-workspace
qiskit-ML-workspace PublicForked 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
-
Quantum-Circuit-Optimization-using-AlphaTensorQuantum
Quantum-Circuit-Optimization-using-AlphaTensorQuantum PublicIn 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
-
-
Quantum_random_forest
Quantum_random_forest PublicA kernel-based quantum random forest for improved classification
Jupyter Notebook
Repositories
- Enhanced-Classification-of-Class-Imbalanced-Datasets-using-Hybrid-Quantum-Models Public
This project explores hybrid quantum-classical models for enhanced classification of class-imbalanced datasets. It implements Hybrid Quantum Neural Networks (HQNNs) and quantum-enhanced algorithms (Random Forest, KNN, SVM) to improve minority class prediction.
QuantumAI-IITM/Enhanced-Classification-of-Class-Imbalanced-Datasets-using-Hybrid-Quantum-Models’s past year of commit activity - 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. This work is an attempt to optimize the quantum circuit depth by minimizing the number of T-gates in any circuit using Deep Reinforcement Learning.
QuantumAI-IITM/Quantum-Circuit-Optimization-using-AlphaTensorQuantum’s past year of commit activity - GQE_For_Drug_Prediction Public
QuantumAI-IITM/GQE_For_Drug_Prediction’s past year of commit activity - 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 datasets will benchmark QNNs and VQAs against classical methods to demonstrate quantum advantage.
QuantumAI-IITM/qiskit-ML-workspace’s past year of commit activity - DA6300-2025 Public
Content related to the Jan-May 2025 session of the course DA6300: Quantum Computing and Machine Learning
QuantumAI-IITM/DA6300-2025’s past year of commit activity
Top languages
Loading…
Most used topics
Loading…