Shisheer Kaushik
Autodidactic in Quantum Information Science
I’m a self-taught passionate Quantum Software developer. I have been in Quantum Tech Field over the
Hi, my name is
About Me
I am a Quantum Technology entusiast specilizing in Quantum information science. I have a actively participated in numerous conferences, workshops, and hackathons and am a engaged member of the Qworld Association community, where I have mentored several events, I am currently a a post-graduate student at Indian Institute of Technology, Jodhpur. in Rajasthan, IN.
Here are a few technologies I've been working with recently:
- C/C++
- HTML
- Python
- JavaScript
- Qiskit
- Pennylane
- PyTorch
- D-wave Ocean
- Sckit-learn
Experience
I am contributing to the development of the models
QpiAI opt and QpiAi ML, based in Bengaluru, IN.
I collaborated closely with a team of seasoned professionals on a project entitled Browser-Based Quantum-Safe VPN PQC Plugin as part of the SparQ Summer Internship. in Bengaluru, IN.
- Access the acceptance mail.
I Worked on an ongoing project as a part of my work as a junior researcher at Qkrishi, Gurgaon, India.
- The objective was to develop a novel optimized quantum algorithm using several methods, like the phase estimation technique to solve the traveling salesman problem and vehicle routing problem.
- Also I benchmarked the respective routing algorithm on various available QPUs by testing on several optimization algorithms to observe and compare the best optimal minimal cost.
- Access the experience letter.
The project focused mainly on creating a platform for a comprehensive and curated collection of resources aiming to help understand Quantum Computing.
- I was allotted to one respective group under a mentor to work on major computational issues faced during Quantum Computation, like Quantum Error Correction.
- During the course of my internship, I devised a Quantum Error Detection model based on surface error code, it enhanced my skills and knowledge in this particular field.
- QMap, the outcome of a project at QWorld, is a comprehensive and curated collection of resources aiming to help you in exploring and understanding various aspects of Quantum Technology.
During one month of the internship, I implemented an Inventory Management system by transmitting structured data network in JSON format.
- This system was used to keep track of products, perform sales analysis and generate a statement consisting of the purchase history of the company.
- Created a frontend design for a product.
I worked on my UG project thesis at Advanced Communication Lab at BNMIT, Bengaluru.
- The aim of the project is to design and fabricate a very efficient, highly sensitive and low cost micro strip patch antenna.
- It was etched customized logo which is tailored to perform the intended application of remotely monitoring the health.
- I published my work at IEEE International Conference on Inteligent and Innovation Technologies.
Education
2023 - ongoing
Master of Technology in Quantum Technologies
Indian Institute of Technology, Jodhpur
GPA:
8.2 out of 10.0
Extracurricular Activities
- Executive Member at Quantum Computing Innovators Group.
- Class Commitee Member for IDRP QIC Dept at IIT Jodhpur.
2018 - 2022
Bachelor of Engineering in Electronics & Communication
BNM Institute of Technology
GPA:
8.37 out of 10.0
Extracurricular Activities
- I Publised two papers in the IEEE Conference on Wearable Tecchnologies.
- I was a IEEE Student Representative.
- Student Fundraiser at TYCIA Foundation and Valliappa Foundatation.
Projects
Quantum
Quantum Machine Learning
Machine Learning
Qiskit
Python
Quantum Binary Classification model with customised Ansatz
This project is a part of the Quantum ML course evalution criteria and was done at IIT Jodhpur. I Built a Quantum Binary classification model for citrus and MNIST datasets by employing `EstimatorQNN` and `SamplerQNN` techniques.
Quantum
Quantum Machine Learning
Deep Learning
Machine Learning
Pennylane
Python
Autism Disease Detection Using Quantum Transfer Learning Techniques
This project is a part of the Fundamental of ML course evalution criteria and was done at IIT Jodhpur. I Built a diagnostic model for medical images by employing Convolution Neural Networks and transfer learning techniques.
Quantum
Qiskit
Python
Benchmarking and Solving Vehicle routing problem on various Quantum Computing QPU
This project was a part of my work as a junior researcher at Qkrishi, Gurgaon, India. The objective is to develop a novel optimized quantum algorithm using several methods, like the phase estimation technique to solve the traveling salesman problem and vehicle routing problem. Finaly I benchmarked the respective routing algorithm on various available QPU’s by testing on several optimization algorithms to observe and compare the best optimal cost.
Quantum
Qiskit
Python
Security
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. 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.
Quantum
Qiskit
Python
Security
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.
CST Studio Suite
Origin Lab
LaTeX
Designing Wearable UHB Microstrip 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 lowcost microstrip patch antenna, It was etched customized logo which is tailored to perform the intended application of remotely monitoring the health.
Deep Learning
Machine Learning
Python
Celebrity Lookalike Project
This project is the works done during my internship at CloudxLab, 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. This model had 98.38 percent computing similarity when tested on two distinct metrics based approaches such as Euclidean distance and Mahalanobis distance.
Achievements
Excellence In Academics Student of Engineering Department
I was awarded as Excellence In Academics Student of Engineering Department in 2019 by the B N M Institute of Technology for securing 3rd place in the department.
Get in Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!