Code Monkey home page Code Monkey logo

Rajarsi 's Projects

bsc-project icon bsc-project

This is my BSc Project on Computational Physics.(Mainly focused on computer simulation)

compare_pf_opt icon compare_pf_opt

For UPWORK work on Quantum and Classical Portfolio OPtimization

graphix_pafloxy icon graphix_pafloxy

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

huffman.encoder icon 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.

iqpe icon iqpe

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

mlreview_notebooks icon mlreview_notebooks

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

orqviz icon orqviz

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

pycipher icon pycipher

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

pyzx icon pyzx

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

qaoakit icon qaoakit

A Toolkit for Reproducible Study, Application and Verification of QAOA

qham21_project icon 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 .

qrl-sjerbi icon 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

qumcmc icon qumcmc

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

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.