During my internship at TATA Elxsi, I worked on a spiking neural network for neuromorphic object detection. I implemented a classical SNN on N-MNIST, N-CIFAR10 and then finally on the N-CARS dataset. I extended the work for a hybrid Quantum-classical SNN to see how useful Quantum VQE could be for object detection with noise-augmented Neuromorphic datasets.
Note: Codes for N-CARS are not available in this repository because they belong to TATA Elxsi (as per the clauses of the internship).
Research paper consulted:
Classical SNN
Object Detection with Spiking Neural Networks on Automotive Event Data
Hybrid-Quantum-classical SNN
