Beginners Guide to Quantum Computing

Quantum Computing seeks to leverage the behaviour of the unorthodox quantum world to give us an advantage over classical computing. This blog contains the resources you can follow to get started with quantum computing and try a few things hands-on. This guide consists of 3 sections:

(1) Prerequisites: The topics you need to be familiar with before getting started with quantum computing.

(2) Basics: This section consists of the topics and relevant resources for getting started with quantum computing.

(3) Additional Resources: This section contains some additional resources that you can follow.

(1.1) Linear Algebra - Basic knowledge of vectors, matrices and operations on matrices is necessary.

(1.2) Quantum Mechanics - It is recommended to have some understanding of quantum physics before starting. For this, you can follow:

(2.1) Quantum Bits and Quantum Gates - It is essential to be familiar with quantum bits, quantum gates, and quantum operations. For these concepts, you can follow:

(2.2) Implementation - After going through the basics, it’s time to try building and implementing quantum circuits. Qiskit is an open-source framework in python which provides tools for designing quantum circuits.

You can also implement your circuits on a real quantum computer!

(2.3) Quantum Algorithms - Learning about quantum algorithms like the Deutsch-Jozsa algorithm, Simon’s algorithm, Grover’s algorithm Shor’s algorithm, etc., is essential before moving on to advanced topics. You can follow these resources:

(2.4) Quantum Protocols - There are some interesting quantum protocols that can be used for Quantum Communication, like Quantum Teleportation, Superdense Coding and various protocols of Quantum Key Distribution for which you can go through:

The above resources will help you to kickstart your journey of quantum computing with ease. Stay tuned for the resource blogs of intermediate and advanced topics in quantum computing!

Written by Yash Jain and Tanmay Sarkar.

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