Projects

Benchmarking and Solving Vehicle routing problem on various Quantum Computing (QPU's)

This ongoing project work is a part my work as Junior researcher at Qkrishi, Gurgaon, India. The project’s objective is to benchmark the repective routing algorithm on various available QPU’s by testing on several optimization algorithm to observe and compare the best optimal (minimal) cost for a vehicles to deliver goods to a fixed number of customers with optimal efficiency.

Malware detection in Android devices using Quantum Machine Learning

The novel approach of this project provides the ability to detect malware on mobile devices. As the inference engine for malware detection, the SecML was utilized to evaluate the security of a malware detector which is based on Variational Quantum Classifier (VQC). The detection process is performed by taking into account the malware’s features, captured on the mobile devices. Experimental research shows that the SVMs are able to produce accurate classification results.

Designing Wearable UHB Micro-strip patch antenna

This project is the works done during my research internship at Advance Communication Lab, B N M Institute of Technology, India. The aim of the project is to design and fabricate a very efficient, highly sensitive and low-cost micro-strip patch antenna with an etched customized logo which is tailored to perform the intended application of remotely monitoring the health.

Quantum QR-Code Generator

This model creates a QR-code for the respective words ecoded into the model obtained from the Bernstein-Vazirani algorithm. It uses data from a quantum computer instead of using pulsar data. The project won seventh place at Quantum-Coalition Open Hackathon 2021.

Quantum Secure Communication via Steganography

This research demonstrates the manner in which a shared text (cover file) can be utilized to hide a secret message, using the encoding idea from BB84 protocol.The notion of utilizing the concept of quantum steganography for transmitting different type of text data over the network by contemplating it as secret message has been the highlight of this work. In addition, the works also describes the subsequent noises and overlapping of expected data due to multiple error factors when the same proposed protocol is tested on 3 distinctive backend devices.

Celebrity Lookalike Project

This project is the works done during my internship at Cloud x Lab, India. This project uses the face-recognition library in Python to find a celebrity look-alike from a picture that is being uploaded. The face-recognition library is built using dlib’s state-of-the-art face recognition which uses CNN to classify several types of touch interaction from humans by learning the data pattern from a force sensor. The model had 98.38% computing similarity when tested on two distinct metrics based approaches such as Euclidean distance and Mahalanobis distance.