Explore the exciting world of quantum computing with this comprehensive beginner's course. Start by building a strong foundation in key mathematical concepts like complex numbers, matrix operations, and linear transformations, essential for understanding quantum computing. You'll learn the fundamental differences between classical and quantum computing, making abstract ideas like qubits, superposition, and entanglement more accessible.

Then, you'll begin programming with Python, starting from the basics and advancing to topics like object-oriented programming and error handling. You'll also dive into Qiskit, an open-source quantum computing framework, to build quantum circuits, run them on simulators, and eventually work with real quantum hardware, bridging theory and practice.

The course wraps up with hands-on implementation of well-known quantum algorithms, including Bernstein-Vazirani, Deutsch, Grover's, and Shor's. By the end, you'll have a solid grasp of quantum mechanics, practical coding skills, and the capability to run quantum algorithms on simulators and actual quantum machines. Whether you're interested in research or pursuing a career in this evolving field, this course provides the tools and expertise you need.

This beginner course requires only high school math, no programming or quantum knowledge. Ideal for all curious learners.

Applied Learning Project

The included projects focus on implementing quantum algorithms using Qiskit to solve real-world problems like search optimization and cryptography. Learners will apply their skills to design, simulate, and run quantum circuits on actual quantum computers, reinforcing their understanding of practical quantum computing.