Manish Kumar (108mk)

108mk

Geek Repo

Company:IISc Bengaluru

Location:Bengaluru

Home Page:https://www.linkedin.com/in/mk108/

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Manish Kumar's repositories

Random-Walk-Simulation-to-study-Anamolous-Diffusion

Brownian dynamics simulation is very insightful to study the mechanical properties of soft condensed matter. In my MS project , I did such simulation to study the properties of time dependent viscoelastic medium like special paints and Laponite suspensions. We are modelling the system as suitable combination of spring and damper.

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108mk.github.io

My Personal Webpage

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Hybrid-Quantum-claasical-SNN

During my internship at TATA Elxsi, I worked on spiking neural network for neuromorphic object detection. I implemented a classical SNN on N-CARS dataset. I extended the work for a hybrid Quantum-classical SNN to see how useful Quantum VQE could be for object detection with noise augemented Neuromorphic daatset

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E0-225_Design_and_Analysis_of_Algorithms

This is my personal repository for E0225:Design and Analysis of Algorithms. It is a foundational course to build algorithmic thinking at Computer Science department, IISc Bengaluru.

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Gradient_Descent

As part of Optimization techniques for ML, I implemented gradient descent technique for 'Least sqaure function' as our objective function. I have supplement it with initial data visualization via correlation matrix and pairplots (via seaborn).

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Lab-04-Frequency-Mixer

Frequency mixer is passive device which generates new frequencies from two input signals/frequencies. It is widely used in changing the frequency range of an original signal to the desired one. It has several utilities in Quantum Technologies emerging now-a-days.

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Quantum-algorithm-breaking-FX_construction_cryptography

Grover and simon algorithms to break FX-constuction in classical cryptography. This is my paper review project in course E0-213_Post_Qauntum-cryptography.

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Quantum_Algorithms_and_Qiskit

This is my personal undertake to implement quantum algorithms in my own ways. I have taken necessary inspiration from Qiskit tutorials and other sources to improve on.

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Taxi-fair-Prediction-using-Machine-learning

Machine learning is vital in predicting potential trend in a Big Data set. We worked with real data set of NYC taxi rides. We deployed various generic as well as advanced ML models such as Linear Regression, Random Forest, Light GBM and XGBoost.

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Tensor_Network_Codes

As a part of Quantum error correction review project, we explored tensor network codes (TNC). TNC has diverse nad promising use in quantum error correcting codes. It is powerful tools to design larger stabilizer codes, estimating code distance and maximum likelihood decoding.

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Cryptanlysis_of_RC4

As a part of E0-213 course at IISc Bengaluru, we explored the crypt analysis of RC4. We have summarize our findings in the atttached documents.

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IBM_Quantum_Spring_challenge_2023

My attempts for IBM Quantum Spring challenge 2023. The labs were dedicated to dynamic circuits and its utilities in quantum error corrections. I has the oppertunity to run my quantum circuiits on 127-qubit ibm qauntum eagle processor.

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MIT_iQuHACK_2023

We in a group of three attempted Ion_Q quantum machine learning challenge from remote mode. It was our first dedicated participation international hackathon.

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Quantum-inspired-algorithms_PORTFOLIO_Optim

Quantum-inspired algorithms for Portfolio optimization

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Quantum_Tech_Project_M_Tech_IISc

This repository contains my current undergoing research works in Quantum technology. My primary interest is to know "WHY" and "WHERE" Quantum-ness can be used as a resource in computation.

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E0-213-Post_Quantum_Cryptography

First course on post quantum cryptography at IISc Bengaluru. It covers both public and private key cryptography assumed to safe from adversary with access to quantum machine.

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E0-230_Computational_methods_of_optimization

E0: 230:Computational Method of Optimization is a course on mathematical optimization of computer science department at IISc, Bengaluru

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E0224-Computational_Complexity_Theory

E0224:Computational_Complexity_Theory is a course on theoretical foundation of computer science at CSA department IISc

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jayrobwilliams.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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Meme-Theory

I delivered this talk to my colleagues at OPENDOOR. This is my attempt to explain the MEME theory with as memes as possible!!!!

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Microwave-Engineering-Lab01-and-02

Basic technique of Microwave Engineering. To get hand on experience with Vector network analyser. The second part includes the use of Directional coupler. It is electronic counter part of optical beam splitter. We have taken data and analysed them to get better insight.

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Multivariate_quadratic_3-pass_digital-signature

This is a literature review of Multivariate quadratic based signature scheme developed by Sukamoto et.al (2011). I went through ncessary literature review to grasp the concept and make a concise report as part of assignment of course E0 213 @ IISc.

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qiskit-community-tutorials

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

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qiskit-machine-learning_108

For my own analysis of Qiskit original repo on Quantum Machine Learning

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Qiskit_practice_summer_school-22

Self practice of lab problems of Qiskit summer school 2022

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Quant-Talk-at-IISc-2022

IISc has specially dedicated program for advanced research in Qauntum Computing and Information Theory. They invites esteemed scientist around the globe to share their research finding to the IISc community. I had the opportunity to listen some of them. I have written my interpretation for the same in my words.

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Stochastic-and-batch-Gradient-descent

My implementation of stochastic and batch gradient descent on california housing price dataset

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transmon-qubit-inside-microwave-cavity

This contains theoretic results important to get insight in the working of a qubit inside microwave cavity. We have made an analogy with coupled spring-mass system to understand the coupling of the qubit with the resonant cavity.

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Xanadu_QHack_2023

I participated in Xanadu_QHack_2023 dedicated to Quantum algorithms like variational circuits and simulation. Finally our team secured rank 26 all over the world

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