Quantum Computing Intro

Program the next era of computing. Master Qubits, Superposition, and Entanglement using Python and Qiskit on real IBM Quantum hardware.

Quantum computing uses the laws of quantum mechanics to solve problems classical computers cannot. This course introduces the physics and logic behind quantum algorithms. You will learn to manipulate Qubits using gates (Hadamard, CNOT), visualize states on the Bloch Sphere, and write circuits using IBM's Qiskit SDK. We execute code on real cloud-based quantum processors to run Grover's Search algorithm and understand the potential of quantum speedup.

✅ 100% Free & Lifetime Access

⏱️ 5-Minute Lessons (Bite-sized learning)

🚀 21-Lesson Path (Independent modules)

📱 Mobile Friendly (Learn anywhere)

Physicists

Start Learning

Secure Enrollment via SSL

Complete Course Syllabus

1

The Qubit

Superposition, measurement, and probabilistic states.
2

Quantum Gates

Manipulating qubits with X, Y, Z, and H gates.
3

Entanglement

Linking particles for correlated states (Spooky Action).
4

Qiskit Basics

Writing your first circuit in Python code.
5

Real Hardware

Queuing jobs on the IBM Quantum cloud.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary

$120k - $180k

Career Paths

Quantum Software Eng $130k-$190k

Research Scientist $140k-$200k

HPC Engineer $120k-$170k

What You Will Learn

Write quantum programs using Python and Qiskit SDK

Construct quantum circuits using Hadamard and CNOT gates

Execute experiments on real IBM Quantum cloud hardware

Visualize quantum states using the Bloch Sphere

Implement basic algorithms like Grover's Search

Skills You Will Gain

Quantum Physics Qiskit Python Linear Algebra Circuit Design

Who Is This For

Computer Scientists

Physics Grads

Research Engineers

Prerequisites

Python

Linear Algebra