The Complete Quantum Computing Course from Udemy

Welcome to the Complete Quantum Computing Course.

Quantum computers are expected to change our lives drastically in upcoming years. We know we can solve specific problems in minutes in Quantum computers while we can solve them in thousands of years in classical computers. If you want to get ahead of the technology and learn about future, then you are at the right place.

Throughout the course we will start from scratch and understand principals of quantum mechanics and how to use them in quantum computers. We will write our own codes to execute on real quantum computers using IBM Qiskit technology. If you have high school level of mathematical knowledge, you can take this course.

Training is given by Atil Samancioglu, who has more than 250.000 students worldwide on Programming & Cyber Security along with the Codestars, serving more than 1 million students online. Atil is co-founder of Academy Club & Pera Games and he also teaches programming in Bogazici University in Turkey.

Some of the topics that will be covered throughout the course:

Quantum Computer and Classical Computer principals
Probability, Statistics, Matrices
Superposition
Entanglement
Interference
Qubit
Superdense Coding
Quantum Teleportation
Bernstein Vazirani Algorithm
Deutsch Algorithm
Shor Algorithm
Grover Algorithm
Python from Scratch
Quantum Fourier Transform
Quantum Phase Estimation

Training will start from completely zero and you will be able to reach the trainer in Q&A section if you have anything in your mind. All materials used in the training will be shared via GitHub and Udemy. Throughout the course we will use real Quantum Computers as well as simulators using IBM Qiskit framework. Python programming language will be delivered from scratch to all the way up to the details.

When you complete this training you will be able to understand theory and practice of Quantum Computing, write your own circuits and execute codes on real quantum computers. You will easily adapt your quantum knowledge to other Quantum computers rather than IBM. Since IBM is the only provider for quantum computers on cloud, without paying any fee right now, all examples will be executed on IBMQ.

Happy coding.

What's inside

Learning objectives

Quantum computing
Quantum programming
Qiskit

Python
Quantum computers

Quantum computing
Quantum programming
Qiskit
Python
Quantum computers

Syllabus

Introduction

Welcome

How To Use This Course?

Presentation for the Course

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Uses IBM Qiskit, which allows learners to write and execute code on real quantum computers, providing practical experience in the field

Covers quantum algorithms like Shor's and Grover's, which are essential for understanding the potential applications of quantum computing

Starts with mathematical foundations, including probability, statistics, and matrices, which are crucial for grasping quantum mechanics concepts

Includes a Python from Scratch module, which is helpful for learners who are new to programming and want to develop the necessary coding skills

Focuses on IBMQ due to its accessibility, but emphasizes that the acquired knowledge can be adapted to other quantum computers, which future-proofs learning

Requires learners to sign up for IBM's services, which may require creating an account and agreeing to their terms of service

Reviews summary

Beginner introduction to quantum computing

According to the course outline, this offering provides a complete introduction to the field of quantum computing. Designed to start from scratch, it covers necessary mathematical foundations, core quantum mechanics principles such as superposition and entanglement, and key quantum algorithms. A significant portion focuses on practical skills using the IBM Qiskit framework, including writing and running code on real quantum computers or simulators. The course also includes a module on Python from scratch, making it accessible even to those without prior programming experience. The curriculum aims to equip learners with both theoretical understanding and practical application abilities.

Includes Python intro for non-coders.

"Was new to Python, the intro helped but felt a bit fast for me."

"Already knew Python, so that part wasn't necessary."

"Wish there was more focus on applying Python specifically to Qiskit early on."

Covers a wide range of foundational topics.

"Liked that it covered both the physics side and the coding side of QC."

"Good overview of the main quantum algorithms like Grover's and Shor's."

"Felt like I got a solid introduction across different essential areas."

Practical coding with IBM Qiskit.

"Running code on the IBM quantum computer was really cool to experience."

"The labs helped make the abstract quantum ideas more concrete through practice."

"I really enjoyed seeing how to build simple quantum circuits in Qiskit."

Quantum ideas can be challenging.

"Some of the quantum ideas were really hard to grasp at first."

"Even with the math review, the jump to qubits felt big for me."

"Needed to rewatch lectures multiple times to fully understand certain topics."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Complete Quantum Computing Course with these activities:

Review Linear Algebra Fundamentals

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Strengthen your understanding of linear algebra concepts, which are crucial for grasping quantum computing principles like qubits and quantum gates.

Browse courses on Linear Algebra

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Review matrix operations such as addition, multiplication, and transposition.
Practice solving systems of linear equations.
Familiarize yourself with vector spaces and linear transformations.

Brush Up on Complex Numbers

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Reinforce your knowledge of complex numbers, as they are fundamental to representing quantum states and performing quantum computations.

Browse courses on Complex Numbers

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Review the definition and properties of complex numbers.
Practice performing arithmetic operations with complex numbers.
Understand the geometric representation of complex numbers on the complex plane.

Qiskit Coding Challenges

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Practice implementing quantum algorithms using Qiskit to solidify your understanding of the framework and quantum computing concepts.

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Solve coding challenges related to quantum gates and circuits.
Implement basic quantum algorithms like the Deutsch-Jozsa algorithm.
Experiment with different Qiskit features and functionalities.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Quantum Algorithm Explainer Video

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Create a short video explaining a specific quantum algorithm (e.g., Grover's algorithm) to enhance your understanding and communication skills.

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Choose a quantum algorithm to explain.
Research the algorithm and create a script or storyboard.
Record and edit the video, ensuring clarity and accuracy.

Read 'Quantum Computation and Quantum Information' by Nielsen and Chuang

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Deepen your understanding of quantum computing theory and algorithms by studying this comprehensive textbook.

View QUANTUM COMPUTATION+QUANTUM INFORMA on Amazon

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Read selected chapters relevant to the course topics.
Work through the examples and exercises in the book.
Take notes and summarize key concepts.

Contribute to Qiskit Documentation

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Improve your understanding of Qiskit and contribute to the community by improving the framework's documentation.

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Identify areas in the Qiskit documentation that need improvement.
Submit pull requests with corrections or additions.
Follow the Qiskit documentation guidelines.

Quantum Key Distribution (QKD) Simulator

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Develop a simulator for a Quantum Key Distribution protocol (e.g., BB84) to gain practical experience with quantum communication concepts.

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Research the BB84 protocol and its implementation details.
Design and implement the simulator using Python and Qiskit.
Test the simulator and analyze its performance.

Career center

Learners who complete The Complete Quantum Computing Course will develop knowledge and skills that may be useful to these careers:

Quantum Computing Scientist

A Quantum Computing Scientist researches and develops new quantum algorithms and quantum computing architectures. This role often involves pushing the boundaries of what's possible with quantum technology. The Complete Quantum Computing Course helps build a foundation in the principles of quantum mechanics and their application in quantum computers, including practical coding experience using IBM Qiskit, which scientists use to run experiments. The course’s coverage of quantum algorithms and quantum Fourier transform provides a strong base for more advanced studies. Anyone interested in becoming a Quantum Computing Scientist should consider this course.

See salaries and explore the career path for Quantum Computing Scientist

Quantum Software Developer

A Quantum Software Developer writes and tests code that runs on quantum computers. They design quantum algorithms for specific applications, creating software that leverages the unique capabilities of quantum hardware. The Complete Quantum Computing Course provides hands on experience with quantum programming, using IBM Qiskit and Python. The course covers the basics of quantum mechanics, qubit manipulation, and quantum algorithms, all crucial for anyone who wishes to become a Quantum Software Developer. The Python modules covered in the course may be useful for quantum software development.

See salaries and explore the career path for Quantum Software Developer

Quantum Algorithm Developer

A Quantum Algorithm Developer focuses on creating and optimizing algorithms specifically designed to run on quantum computers. The work involves a deep understanding of quantum mechanics and computational complexity to achieve speedups over classical algorithms. The Complete Quantum Computing Course dives directly into quantum algorithms, like Shor and Grover's algorithms, and the quantum Fourier transform. The course's practical exercises in coding these algorithms using IBM Qiskit, alongside its coverage of the mathematical foundations, could be especially beneficial for anyone looking to become a Quantum Algorithm Developer.

See salaries and explore the career path for Quantum Algorithm Developer

Quantum Research Engineer

A Quantum Research Engineer works on the hardware and software aspects of quantum computing systems. Their responsibilities often include building and testing quantum devices along with developing software tools to control them. The Complete Quantum Computing Course offers an advantage to aspiring Quantum Research Engineers by providing grounding in quantum computing principles along with hands on experience using IBM Qiskit. The course's coverage of quantum gates, circuits, and real quantum computer properties proves to be useful for anyone looking to build the next generation of quantum technologies.

See salaries and explore the career path for Quantum Research Engineer

Quantum Computing Consultant

A Quantum Computing Consultant advises organizations on how quantum computing can impact their business and how to prepare for the quantum era. These consultants assess potential applications, develop strategies, and sometimes prototype solutions. The Complete Quantum Computing Course provides a solid overview of quantum computing principles, algorithms, and practical implementation using IBM Qiskit. This knowledge base allows a future Quantum Computing Consultant to communicate effectively with clients and assess the feasibility of quantum solutions. The consultant will also be well-versed in the current state of quantum technology.

See salaries and explore the career path for Quantum Computing Consultant

Computational Physicist

A Computational Physicist applies computational techniques to solve problems in physics. This can involve simulating physical systems, analyzing data, or developing new theoretical models. While not exclusively focused on quantum computing, the skills acquired in the Complete Quantum Computing Course have advantages for a Computational Physicist involved in quantum simulations. The course's emphasis on quantum mechanics principles, matrix operations, and Python programming helps them to tackle complex simulations and data analysis tasks in physics.

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Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. While traditionally focused on classical computing, there is growing interest in quantum machine learning. The Complete Quantum Computing Course may be helpful for a Machine Learning Engineer looking to explore quantum algorithms for machine learning. The course's coverage of quantum principles, Python, and quantum algorithms builds essential theoretical understanding. With it, the engineer can stay ahead of the curve in this rapidly evolving field.

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Data Scientist

A Data Scientist analyzes large datasets to extract insights and build predictive models. While the field is not directly quantum-focused, quantum computing has the potential to revolutionize certain data analysis tasks. The Complete Quantum Computing Course may benefit a Data Scientist seeking to understand the future impact of quantum computing on data science. The course's coverage of probability, statistics, and Python gives the data scientist a foundation for exploring quantum machine learning and other quantum-enhanced data analysis techniques.

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Cryptography Engineer

A Cryptography Engineer designs and implements secure communication systems. With the advent of quantum computers, existing cryptographic algorithms are at risk. The Complete Quantum Computing Course may be useful for a Cryptography Engineer who wants to learn about quantum-resistant cryptography. By understanding quantum algorithms like Shor's algorithm, the engineer can better appreciate the vulnerabilities of current systems and work to develop more secure alternatives.

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Software Engineer

A Software Engineer designs, develops, and maintains software systems. While most software engineering roles do not directly involve quantum computing, having a basic understanding of the field is increasingly valuable. The Complete Quantum Computing Course may be useful for a Software Engineer who wants to broaden their knowledge and explore emerging technologies. The course's Python modules give the engineer a general understanding of quantum computing concepts.

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High School Teacher

A High School Teacher is an educator who works at secondary schools. While Quantum Computing is rarely a central focus of the curriculum, there is a growing need to introduce future generations and get them excited about the subject. The Complete Quantum Computing Course may assist a High School Teacher in developing introductory lesson plans about this technology. By going through the Python modules, they may have more confidence in their ability to introduce topics simply.

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University Professor

A University Professor is an expert, holding advanced degrees (typically a doctorate), who teaches at university. The Complete Quantum Computing Course may be useful for a Professor interested in exploring a topic that can be used alongside classical computer science. The course's coverage of Quantum programming, Qiskit, and other Quantum Computing fundamentals build a good foundation for an academic to teach the subject.

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Trainee Teacher

A Trainee Teacher is a new teacher who does not have a full time teaching position, and is tasked with assisting current teachers in their duties. The Complete Quantum Computing Course may assist a Trainee Teacher in preparing to lecture or teach this up and coming topic. It may be useful for them to explore Python programming and computer hardware in order to be able to relay complex topics to children. The course's modules on quantum computing and computers may enable them to become well versed.

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Research Assistant

A Research Assistant is a researcher, typically without a doctorate, who assists with experimental design, data collection, data analytics, and reporting of results. The Complete Quantum Computing Course may be helpful for an aspiring Research Assistant seeking to be involved in new research and techniques. By studying topics like machine learning and data analysis, they may have a better idea of how to collect and analyze data, improving their ability.

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Academic Tutor

An Academic Tutor is a tutor who specializes in more advanced topics, usually at a university. The Complete Quantum Computing Course may be useful for an Academic Tutor who wishes to tutor ambitious students. The course covers the fundamentals of Qiskit and Quantum Programming, allowing a tutor to better assist their students. The tutor can explore the topics in this course and grow their skills.

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Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Complete Quantum Computing Course.

Quantum Computation and Quantum Information South...

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Is considered the bible of quantum computing. It provides a comprehensive and rigorous treatment of the field, covering everything from the basics of quantum mechanics to advanced quantum algorithms and quantum information theory. While it can be challenging, it's an invaluable resource for anyone serious about mastering quantum computing. This book adds significant depth to the course material.

QUANTUM COMPUTATION+QUANTUM INFORMA

Paperback

The Complete Quantum Computing Course

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Beginner introduction to quantum computing

Activities

Career center

Reading list

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