Quantum Ghost Imaging
Date:
Mentor: Dr. Shashi Prabhakar AMOPH Division
Project Combined two techniques of quantum ghost imaging and machine learning to identify the object in effectively less amount of time.Akhilesh-Dubeyy
Implemented the simulation part for various masks used in quantum ghost imaging experiment like Hadamard, Walsh and obtained results.
Analyzed more than 3,600 images for training to detect patterns in data for machine learning model and analysing over 21,600 images with an efficient accuracy and less loss.
Learned quantum ghost experiment using SPDC process for single photons using non-linear crystal,dichroic mirror, spatial light modulator, avalanche photo-diode, Coincidence Counter, Lenses and mirror. Learned about single photon and its intresting other methods for generation like in quntum Key Distribution for teleportation.
Reconstructed the image generated from the experiment and used machine learning algorithms to detect images.
Run my machine learning algorithm on High performance Computer(HPC) Cluster (PARAM VIKRAM 1000) for better and efficient results.
