A quick overview of what Qubit Lab is all about.
No advanced math or physics background is required. With basic Python skills and a healthy dose of curiosity, anyone can start learning quantum computing. This series is ideal for finance professionals, tech enthusiasts, students, and anyone interested in the future of computing.
Quantum computing is advancing from theory to reality faster than many realize. However, learning resources often remain either too abstract or too complex. This project aims to bridge the gap — providing an accessible, practical introduction to core quantum concepts and hands-on programming.
You will learn how quantum computers store and process information, how to design simple quantum circuits in Python using Qiskit, and how fundamental phenomena like superposition and interference are applied to computation. The goal is to build not only an understanding of what quantum computing is, but also how it works — preparing for deeper exploration into the field.
...it is not trivial, but you can do it!
🌟 Quantum computing is making headlines everywhere — but is it hype or the next big thing? In this video, we go beyond the buzzwords to understand how quantum computers work, how they could disrupt industries like finance, AI, and cryptography, and what programming a quantum computer really looks like. No PhD needed — just curiosity and a bit of Python. Let's get started!
🧠 Before we code, we need to understand how quantum computers think. We dive into the four cornerstones: qubits, superposition, measurement, entanglement, and quantum gates. You'll see how quantum magic like interference and reversibility makes these machines so unique — and why programming them is a whole new ballgame.
🎲 Time to roll the dice — literally! We build our very first quantum circuit: a real eight-sided die powered by quantum randomness. Using Python and Qiskit, we'll create and run a simple but powerful “Hello, Quantum World!” program. Your first step into real quantum coding starts here — and it's easier than you think.
Try the Jupyter NotebookExplore the same circuit in different quantum SDKs. Run each version directly in Google Colab.
🔧 Ready to build your quantum toolbox? Now that you've seen your first circuit, it's time to learn how quantum gates really work. We revisit vectors and matrices from high school, uncover why quantum gates must be reversible, and explore key players like the X gate and Hadamard gate — with real Python examples to prove it. Understanding these simple tools is your gateway to mastering real quantum algorithms!
Try the Jupyter Notebook🌀 In this video, we explore complex numbers and their phases — the hidden dimension powering quantum computing. You’ll learn how phase shifts enable ✨ quantum interference, constructive and destructive. Discover how gates like Hadamard and Z work together to manipulate probability flows in ways classical computers can’t.
( coming soon )
Step-by-step video explanation of how to multiply matrices — essential for understanding quantum gates.
Friendly visual introduction to imaginary numbers and why the square root of −1 is useful in quantum mechanics.
A memory aid for learning quantum computing concepts through spaced repetition.
More resources to learn about quantum computing.
Q&A platform for engineers, scientists, and programmers interested in quantum computing.
Events, Slack, and contributions to Qiskit.
Supports open quantum projects and mentorship.
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