Shilpi

As a student of Artificial Intelligence with a strong interest in quantum computing and exploring the intersection of quantum computing and machine learning using PennyLane., I use PennyLane to prototype and simulate quantum machine learning algorithms. My focus is on practical applications such as quantum-enhanced data analysis and quantum neural networks, leveraging PennyLane's ability to interface with classical ML frameworks and quantum hardware. I'm currently focusing on hybrid quantum-classical models and quantum kernel methods for real-world data analysis. PennyLane’s seamless integration with tools like PyTorch and Qiskit allows me to experiment with both simulation and near-term quantum devices, advancing my research interests in quantum-enhanced AI.