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

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

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.