Rajarsi 's repositories

quMCMC

Repository for development of end-to-end quantum enhanced Markov Chain Monte Carlo implementation

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graphix_pafloxy

graphix is a library to optimize and simulate measurement-based quantum computing (MBQC).

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compare_pf_opt

For UPWORK work on Quantum and Classical Portfolio OPtimization

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Forecasting_Mutual_Funds

⚡ This Project gives you an overall idea for Forecasting Mutual Funds

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pyzx

Python library for quantum circuit rewriting and optimisation using the ZX-calculus

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QuantumAlgorithmsCollect

Quantum Algorithms collect

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torchquantum_pfx

A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

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qhack-project-raflaneq

Repo for your official project submission ot the QHACK '23 hackathon.

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tspqaoa

Implementation of QAOA for Travelling Salesman Problem

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orqviz

Python package for visualizing the loss landscape of parameterized quantum algorithms.

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qrl-sjerbi

Jupyter notebooks of the simulations ran as part of a semester project on "Quantum Reinforcement Learning and Projective Simulation" at Télécom ParisTech + internship report "On the Quantum Speed-up of Markov Chain Monte Carlo Methods for Reinforcement Learning" completed at the University of Innsbruck

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teamPafloxyQ

Game Development repo for team PafloxyQ

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monthly-challenges

Repository containing monthly challenges in the field of quantum computing.

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QAOAKit

A Toolkit for Reproducible Study, Application and Verification of QAOA

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QuantumLocalSearch

Repo for working on the Quantum Local Search Problem for Pawel Gora

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IQPE

A collection of Jupyter notebooks showing how to use the Qiskit SDK

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machine-learning-for-physicists

Code for "Machine Learning for Physicists 2020" lecture series

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QuantumML.project

Materials from my QML related projects !

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QHAM21_project

In this work I have provided a review of the work presented by N.Miller et al. on Quantum Hopfield Associative Memory (QHAM) \small{\cite{QHAM}}, along with a brief overview of various methods of implementing quantum neural networks. I have discussed the results to some of the experiments that I have conducted on my own implementation of the QHAM .

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Hopfield_MlPh

Hopfield Networks and Application

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mlreview_notebooks

Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"

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pycipher

python module containing many classical cipher algorithms: Caesar, Vigenere, ADFGVX, Enigma etc.

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Huffman.encoder

In his theory Claude Shannon described a way we could encode most of our information in a manner such that it could be expressed in the least amount of information. However finding the optimal scheme is still just a theoretical dream yet, but there has been considerable effort in developing ways to encode information in a way to match the Shannon limit. Huffman encoding is one such brilliant scheme to encode any piece of text into strings of binary digits, by using the relative frequency of each symbol in the text in a manner that uses the least size of binary strings and is finitely decodable.

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Hopfield-Network

Hopfield network implemented with Python

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tsa-rvmath

code and data for the time series analysis vids on my YouTube channel

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