Using PennyLane to implement a variational quantum eigensolver (and quantum phase estimator), used to find eigenstates and eigenvalues for molecules.

Optimising asset portfolios using a variational quantum eigensolver in a hybrid quantum-classical algorithm.

Quantum Machine Learning (QML) project that predicts suitable crops based on soil and environmental parameters using quantum-enhanced models. Built as a hybrid application combining classical preprocessing with quantum circuits (via Qiskit/PennyLane), this app demonstrates how quantum computing can be applied to real-world agricultural challenges.

⚡ Explore a powerful framework for evaluating the Quantum Approximate Optimization Algorithm (QAOA) with multi-optimizer support and GPU acceleration.