Working on Quantum Hamiltonian Complexity theory.

As a summer intern, I am exploring opportunities to apply quantum algorithms in some machine learning architectures. The aim is to demonstrate any ''possible'' enhancement in the computational cost of existing artificial neural networks for pattern recognition.We prioritize a hybrid Quantum-classical model that can be implemented in NISQ devices.It would be mostly inclined to Spiking Neural Network (SNN). [ and Convolutional Neural Net in some capacity.]