Rajarsi 's repositories
graphix_pafloxy
graphix is a library to optimize and simulate measurement-based quantum computing (MBQC).
compare_pf_opt
For UPWORK work on Quantum and Classical Portfolio OPtimization
Forecasting_Mutual_Funds
⚡ This Project gives you an overall idea for Forecasting Mutual Funds
pyzx
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
QuantumAlgorithmsCollect
Quantum Algorithms collect
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.
qhack-project-raflaneq
Repo for your official project submission ot the QHACK '23 hackathon.
orqviz
Python package for visualizing the loss landscape of parameterized quantum algorithms.
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
teamPafloxyQ
Game Development repo for team PafloxyQ
monthly-challenges
Repository containing monthly challenges in the field of quantum computing.
QAOAKit
A Toolkit for Reproducible Study, Application and Verification of QAOA
QuantumLocalSearch
Repo for working on the Quantum Local Search Problem for Pawel Gora
IQPE
A collection of Jupyter notebooks showing how to use the Qiskit SDK
machine-learning-for-physicists
Code for "Machine Learning for Physicists 2020" lecture series
QuantumML.project
Materials from my QML related projects !
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 .
Hopfield_MlPh
Hopfield Networks and Application
mlreview_notebooks
Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
pycipher
python module containing many classical cipher algorithms: Caesar, Vigenere, ADFGVX, Enigma etc.
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.
Hopfield-Network
Hopfield network implemented with Python
tsa-rvmath
code and data for the time series analysis vids on my YouTube channel