What is this

This repository contains notebooks for learning the basics of qiskit, a Python library for quantum computing.

Summary

The notebooks cover the following topics:

1. Introduction - we cover what's a circuit and how to sample it, as well as the basic quantum gates.
2. Deutsch-Josza - we describe the Deutsch-Josza algorithm, and cover a two-ancilla case to mimic noise effects
3. Rotation gates - we talk about parametrized gates and briefly discuss variational quantum algorithms (perhaps it's a bit early but it feels appropriate)
4. Quantum Fourier Transform - we present the Quantum Fourier Transform. The exercise here is to implement it by yourself.
5. Quantum Phase Estimation - building on the QFT, we go through the phase estimation algorithm. Again, you build the QPE circuit in an exercise.
6. Grover's algorithm - we cover Grover's algorithm to (quantumly) find stuff in a list
7. Connect to IBMQ - a rather non-quantum tutorial to connect to IBMQ's free quantum hardware instances.
8. QPE on quantum hardware - connect to IBMQ to get a QPE algorithm to run on real quantum hardware.