Quantum Neural Network Project

Project Brief

A quantum neural network demo with visualizations (the focus of this project was mostly on the backend devops part e.g. the terraform handling of aws services and docker etc)

Accomplishments

• Made a QNN(Quantum Neural Network) which is a neural network of whom backend is powered using quantum properties that accepts a csv file and is compared against a normal Neural Network
• Used docker to containerize the application to be run on other machines as well as facilitate prometheus hosting for continuous monitoring of the website
• I used FastAPI for the handling of requests of the website and Jinja2 for serving html files and transfer of data
• Then I used terraform, a infrastructure as code tool, to orchestrate Docker and AWS services such as AWS’s ECR, ECS, load balancers, elastic IPs etc to host the container
• Why did I do this project? For 1 month I got interested in the idea of devops and agile methodologies and the team management aspect of it but I wanted to do something practical relating to it too
• My biggest achievement out of this? Learning Qiskit, Terraform, Docker, Prometheus, FastAPI, Jinja2, AWS Cloud Services all in 3 days

Technologies and Skills Used:

• Deep Learning
• Terraform
• Web Development
• Backend Development
• FastAPI
• Jinja2
• Prometheus
• Docker
• AWS Cloud