Giter Site home page Giter Site logo

shil-m / teqs Goto Github PK

View Code? Open in Web Editor NEW

This project forked from the-eigensolvers/teqs

0.0 0.0 0.0 26.5 MB

Welcome to The Eigensolver Quantum School, a quantum computing crash course designed by students for students.

License: MIT License

Jupyter Notebook 97.21% Python 2.79%

teqs's Introduction

TEQS

Welcome to The Eigensolver Quantum School, a crash course designed by students for students. The aim of this program is to take someone who has no QC knowledge and put through a five day crash course that puts them in the frame of mind necessary to learn via formal texts such as Nielsen and Chuang (which is the prize of our two day hackathon!)

TEQS Prerequisites

One of the beauties behind learning quantum computing is that on an elementary level, very few pre-requisites are required. At TEQS, the course is designed in a way where the only pre-requisites required are basic linear algebra and classical information processing. To ensure that everyone has those under their belts before attending the crash course, we made those three notebooks which we encourage everyone to read and solve the exercises.

  • Chapter 1 is on vectors and how they are used to represent the state of a qubit
  • Chapter 2 is on operators and how they are used to manipulate the state of a qubit
  • Chapter 3 is on Classical Information and Boolean Logic

Module Requirements

Lectures

Day 1:

Overview of mathematical prerequisites, brief introduction to quantum states and operators, and classical computing. Content available here.

Day 2:

Reduced quantum postulates from a quantum computing perspective and introduction to basic quantum circuits and simulators using Qiskit. Content available here.

Day 3:

The no-cloning theorem, quantum teleportation protocol, superdense coding, and BB84 cryptographic protocol. Content available here.

Day 4:

Quantum oracles, Deutsch's algorithm and how to construct a quantum circuit that implements them. Content available here.

Day 5:

IBM Quantum Fun Day! Introduction to RasQberry and Question and Answer Panel. Content available here.

Hackathon!

Welcome to the Eigensolvers Quantum School Hackathon! In the notebook found in this folder there are 4 problems covering all the material covered in the lectures. These problems have been designed for people coming from all different levels of experience in quantum computing. You will get a different certificate level based on the problems you completed:

  • First two: Beginner
  • First three: Intermediate
  • All four: Advanced

There are also prizes for the winners of the hackathon:

  • First Place: RasQberry - Premium
  • Second Place: RasQberry - All Inclusive
  • Third Place: RasQberry - Customizable DIY Kit
  • Fourth Place: Nielsen and Chuang

The ranking will be based on the weighted cost of the solutions for problem 3 and problem 4; as defined in the notebook.

To submit your solutions, fill out the form below, with the code that you write for each problem. https://forms.gle/KkA6gBbhrCZpWgnX8

The deadline for submission is Sunday (July 11th) 7pm Indian Standard Time. Remember, the ultimate goal is to have fun and learn some quantum computing while you're at it. All the best!

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.