sehmimul's Projects
Team QriKET (iQuHACK 2021)
AMATH 361 project (Group 16) at University of Waterloo
This Model predicts average rainfall every month in Bangladesh by taking the variables, month, year, average temperature for the month. A database, Temp_and_Rain was used from Kaggle to build the Machine Learning Model.
Quantum Variational Autoencoder for Calorimeter Simulation
Final Project for AMATH 495
Toolkit for Monte Carlo simulation of ionizing radiation — Trousse d'outils logiciels pour la simulation Monte Carlo du rayonnement ionisant
A collection of various notebook extensions for Jupyter
This algorithm was developed with Scipy and Numpy. The algorithm can be used to estimate one parameter of equation 29 in the paper https://arxiv.org/pdf/2008.06602.pdf.
Users can link photographs in the html file to get the imaged in the webpage.
We do supernovae light curve approximation using the generative flow model: Normalizing Flows. Then we interpolate the light curves and do binary classification to judge the quality of our approximaiton
Package for Simulation, Tomography and Analysis of Quantum Computers
This is my personal website
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
In this project, I made a variational quantum circuit with which I can get any arbitrary quantum state. Then I reproduced the parameters of a qubit using the SWAP test. Lastly, I reproduced a quantum state made with n qubits where the state can be written as a product state.
Used Pennylane to optimize the angles of the two transformations (Rx and Ry) so that the transformations (Rx followed by Ry) change the qubit from |0> to |1>
This is a web application built with PHP, where users can upload 3 photos of their recipes. Users must have their own accounts and can like others posts. The most liked posts will be displayed before others in the Feed.