The Complete Quantum Computing Course with Python [2025]

Name: The Complete Quantum Computing Course with Python [2025]
Rating: 3.7 (11 reviews)

Qubit, quantum gates, quantum circuits, quantum mechanics, Deutsch-Jozsa Algorithm, Grover’s Algorithm, quantum oracle

Created byHoang Quy La

Last updated 3/2025

English

What you'll learn

Qubit
Qubit State
superposition state
quantum gates
quantum circuits
quantum mechanics
multi-qubit state
Wave theory
Qubit interference
Quantum spin
Stern-Gerlach Experiment
Correlated particles
Bell States
Einstein-Podolsky-Rosen Paradox
Hadamard gate
Cirq
Pauli gate
Phase kickback
Eigenstates
Swap gate
Toffoli gate
CNOT gates
Rϕ Gate
Rx and Ry gates
Equal superposition state
Entangled state
bit-flip error
phase flip error
Quantum Error Correction (QEC)
Shor Code
Variational Quantum Circuits
classical oracle
phase oracle
quantum oracle
Quantum phase estimation
Amplitude Amplification
quantum Fourier transform
Grover’s Algorithm
Deutsch-Jozsa Algorithm

Course content

5 sections • 82 lectures • 7h 30m total length

Course Structure1:32
Explore the complete quantum computing course structure from basic concepts and implementation to intermediate and advanced quantum algorithms, including quantum estimation and the quantum Fourier transform.
Tools used in this course (IMPORTANT)1:35
How to make the most out of this course1:52
What is quantum computing and why is it the future technology3:57
What is a Qubit and why are Qubits Important?2:35
What is qubit state and what are Key Properties of a Qubit State?2:42
Introduction to superposition state3:42
Introduction to quantum state3:45
Visual Explanation & Real-World Analogy for Qubits and quantum state3:20
Introduction to quantum gates5:44
Introduction to quantum circuits5:24
Explore quantum circuits as sequences of quantum operations that manipulate qubits with gates and measurement to perform computations using superposition, entanglement, and interference, including Hadamard and Bell states.
Introduction to quantum mechanics6:25
Introduction to multi-qubit state8:02
How to measure a quantum state?5:54
Introduction to Wave theory?6:32
Introduction to Qubit interference3:39
Why interfere with qubits?3:38
Quantum Algorithm That Uses Interference: Grover’s Algorithm3:34
Introduction to Quantum spin5:21
Introduction to Stern-Gerlach Experiment4:20

Introduction to Correlated particles3:39
Introduction to Bell States3:25
Introduction to Einstein-Podolsky-Rosen Paradox?5:05
Introduction to Hadamard gate3:18
Introduction to Cirq2:29
Learn how cirq, Google's open source quantum framework, designs and runs circuits on simulators and Sycamore hardware. Use Python-based syntax to work with devices and explore entanglement and error correction.
Introduction to Pauli gate2:25
Fix the error from the library3:16
How to implement a simple Hadamard gate in Python5:51
Simple implementation of Pauli gate in Python6:08
How to implement a advanced Hadamard gate in Python8:46
Introduction to Phase kickback?3:29
How to implement Phase kickback in Python8:02
Introduction to Eigenstates3:17
How to implement Eigenstates in Python14:04
Introduction to the Swap gate2:45
Introduction to Toffoli gate4:19
Introduction to CNOT gates3:00
Implementation of CNOT gates7:11
Introduction to Rϕ Gate3:14
Implementation of Rϕ Gate3:16
The Rx and Ry Gates4:33
Implementation of Rx and Ry gates6:38
Introduction to Equal superposition state3:17
Explore equal superposition states, where all basis states have equal probability, created by the Hadamard gate, and see how quantum parallelism and interference enable global search and other algorithms.
Introduction to Entangled state3:29
Bell state implementation6:54
SWAP gate implementation6:15

How to create a quantum states in python12:08
How to create a superposition state in python12:34
How to create complex entries in the state vector using python11:41
Advanced Complex entries in the vector state in puthon9:52
Creating a quantum state with complex amplitudes13:35
How to create Multi-Qubit States18:31
How to extract the state in python8:38
How to resize single-qubit gates in python9:58
Introduction to bit-flip error2:53
Implementation of bit-flip error5:51
Introduction to phase-flip error3:53
Implementation of phase flip error5:00
Introduction to Quantum Error Correction (QEC)4:52
Implementation of quantum Error Correction9:46
Introduction to Shor Code1:56
Shor code implementation15:31
Introduction to Quantum Fault Tolerance2:44
Introduction to Variational Quantum Circuits2:55

Introduction to Classical oracle in quantum computing2:45
implementation of a classical oracle5:18
Introduction to phase oracle3:11
Implementation of phase oracle2:42
Introduction to quantum oracle2:19
Implementation of quantum oracle3:17
Why Quantum Oracles?4:27
Introduction to Quantum phase estimation4:41
Implementation of quantum phase estimation9:32
Introduction to Amplitude Amplification2:48
Implementation of Amplitude Amplification5:44
Introduction to Deutsch-Jozsa Algorithm3:09
Introduction to Grover’s Algorithm2:47
Introduction to quantum Fourier transform?3:09
Implementation of Quantum Fourier Transform7:55
Implementation of Deutsch-Jozsa Algorithm12:07
Implementation of Grover's algorithm9:17

Requirements

Basic knowledge of python is required

Description

Master Quantum Computing with Python – From Fundamentals to Advanced Algorithms

This course is a comprehensive, hands-on guide to quantum computing, designed for both beginners and professionals. Whether you are a student, researcher, or software developer, this course will take you from the foundational principles of quantum mechanics to implementing real-world quantum algorithms using Python.

What You Will Learn

Quantum Mechanics Basics – Understanding superposition, entanglement, and quantum interference
Qubits and Quantum Gates – Explore Hadamard, Pauli, CNOT, Toffoli, and rotational gates
Quantum Circuit Design – Build and simulate quantum circuits using Cirq and Qiskit
Quantum Fourier Transform (QFT) and Grover’s Algorithm – Solve complex problems exponentially faster
Quantum Phase Estimation (QPE) – The foundation for Shor’s Algorithm and quantum cryptography
Variational Quantum Circuits (VQCs) – Hybrid quantum-classical machine learning applications
Quantum Error Correction (QEC) – Ensuring reliability in quantum computing
Quantum Oracles and Amplitude Amplification – Core components for quantum search algorithms

Hands-On Projects and Applications

Simulating quantum circuits with Python
Implementing Grover’s Search Algorithm for database searches
Building and running the Quantum Fourier Transform (QFT)
Developing Quantum Phase Estimation (QPE) for real-world applications

Who Should Take This Course?

Python programmers interested in quantum computing
Computer science and physics students
Machine learning and AI professionals exploring Quantum AI
Developers and researchers looking to transition into quantum computing

Why Learn Quantum Computing?

With major companies and research institutions investing in quantum computing, acquiring quantum programming skills will open doors to cutting-edge technologies and future career opportunities.

Enroll Today and Begin Your Quantum Computing Journey!

Who this course is for:

Who wants to learn about quantum computing
Who wants to work in quantum computing
Who has some basic knowledge of python and wants to go beyond

The Complete Quantum Computing Course with Python [2025]

What you'll learn

Explore related topics

Course content

Introduction20 lectures • 1hr 24min

Basic quantum computing concept and implementation26 lectures • 2hr 8min

Intermediate quantum computing18 lectures • 2hr 32min

Advanced quantum computing17 lectures • 1hr 25min

Thank you1 lecture • 1min

Requirements

Description

Who this course is for: