IO Quantum 101 Labs

Welcome to the IO Quantum Summer School 2025 with IO Scholar and QuantumAI.Cloud Hub! 🚀

This repository contains hands-on laboratory exercises designed to provide you with a foundational understanding of Quantum Computing, with a particular focus on designing and implementing quantum algorithms using Qiskit SDK.

🎯 Program Overview

The IO Quantum Summer School is a comprehensive program that bridges theory and practice in quantum computing. Each lab exercise has been carefully developed to help you apply concepts from reading materials and lectures, ensuring a comprehensive learning experience grounded in practical quantum programming using Qiskit.

📚 Lab Exercises

Lab 01 - Building "Hello Quantum" Programs with Qiskit

File: Lab01/Lab01.ipynb

Topics Covered:

• Setting up your local quantum development environment
• Introduction to Qiskit framework
• Building your first quantum program
• Constructing quantum circuits for true random number generation
• Understanding quantum randomness principles

Prerequisites:

• Python 3.8+ installed
• Virtual environment setup (venv or Conda)
• Basic understanding of Python programming

🛠️ Getting Started

1. Clone the Repository

First, clone this repository to your local machine:

git clone https://github.com/qachub/io-quantum-101.git
cd io-quantum-101

2. Environment Setup

Create and activate a virtual environment:

Using venv:

python -m venv ioq
source ioq/bin/activate  # On macOS/Linux
# or
ioq\Scripts\activate     # On Windows

Using Conda:

conda create -n ioq python=3.9
conda activate ioq

3. Install Dependencies

pip install -r requirements.txt

Main Dependencies:

• qiskit==2.4.0 - Quantum computing framework
• qiskit-aer==0.17.2 - High-performance quantum circuit simulator
• qiskit_ibm_runtime==0.46.0 - IBM Quantum runtime services
• matplotlib==3.10.8 - Plotting and visualization
• pylatexenc==2.10 - LaTeX encoding support

4. Launch Jupyter Notebook

Navigate to the lab directory and open the desired notebook file.

Recommended IDEs:

• Visual Studio Code - Free, powerful code editor with excellent Jupyter notebook support
• Cursor - AI-powered code editor built on VS Code with enhanced coding assistance

📝 Working with the Labs

Notes:

1. Kernel Management: If you restart the kernel, re-run all code cells from top to bottom
2. Pre-filled Code: Do not modify cells with pre-written code in assignment section if you're unsure
3. Your Code Areas: Look for comments like ### WRITE YOUR CODE BELOW THIS CELL ###
4. Local Simulation: Due to regional restrictions, we run quantum simulations locally instead of on IBM's cloud hardware

Lab Structure:

• Markdown cells: Explanations and instructions
• Code cells: Hands-on quantum programming exercises
• Visualization: Quantum circuit diagrams and result plots

📖 Additional Resources

• IBM Quantum Documentation
• IBM Quantum Learning
• Python Virtual Environments Guide
• Conda Environment Guide

This program is part of the QuantumAI.Cloud's educational initiatives.

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Happy Quantum Programming! 🌌✨