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Сысоев Сергей Сергеевич
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Teaches the mathematical model of quantum computers, making it accessible to those new to the field
Provides a foundation for understanding more advanced quantum computing concepts
Develops an intuitive understanding of quantum mechanics without requiring extensive background knowledge
Offers practical experience in building a simple quantum computer
Requires only foundational knowledge of complex numbers and linear algebra
May require additional resources to fully grasp some advanced concepts

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Reviews summary

Quantum computing for beginners

This introductory course on quantum computing provides a solid foundation in the theory and concepts needed to understand quantum algorithms and the potential of quantum computers. Reviews indicate that the course is well-structured and covers a comprehensive range of topics, including quantum mechanics, quantum algorithms, and quantum computing hardware. However, some learners may find the course challenging, especially in the later weeks, due to the mathematical complexity of the subject matter.
Engaging and insightful content.
"The course was very insightful."
"Very stimulating."
"The course opened the window to the world of quantum computation."
Well-structured course with logical progression.
"Fantastic course with a nicely structured progression."
"Well explained by the professor!"
"Great intuitive explanations of concepts."
Excellent introduction to quantum computing with engaging explanations.
"Excellent course, very well structured"
"Great intro course."
"Very clear and in-depth explanation of quantum algorithms and awesome demonstration of real quantum computer"
Professor's communication could be improved.
"The professor was very good with his concepts but his communication is not clear..."
"The professor is a little bit confuse and the course sometimes were structured badly"
"I enjoy but the only problem was the way of presenting material"
Course is very mathematically challenging.
"Course is very good & mind-blowing and needs great understanding in mathematics ."
"Significant effort to land a complex subject."
"I enjoyed it for the very fact that it was difficult and mathematics is just mind blowing!!"

Activities

Coming soon We're preparing activities for The Introduction to Quantum Computing. These are activities you can do either before, during, or after a course.

Career center

Learners who complete The Introduction to Quantum Computing will develop knowledge and skills that may be useful to these careers:
Quantum Analyst
Quantum Analysts perform key duties that include analyzing data, developing models, and striving for optimizing quantum computing. The course's focus on building a working quantum computer is essential for this role.
Quantum Computing Architect
Quantum Computing Architects plan and design quantum computing systems. The course's coverage of the mathematical model of quantum computers and algorithms for bigger quantum computers is particularly relevant to this role.
Quantum Information Scientist
Quantum Information Scientists conduct research in the field of quantum information science, and develop quantum information technologies. The course provides a thorough foundation for this role by covering topics such as the mathematical model of quantum computers, algorithms for bigger quantum computers, and the history of quantum mechanics.
Computer Engineer
Computer Engineers innovate by designing and developing computer systems and their components, from concept through manufacturing and installation. Students in the Introduction to Quantum Computing course typically have a background in computer science, software engineering, or a related field. Thus, the mathematical model of quantum computers and the algorithms for bigger quantum computers can help them design and develop computer systems based on quantum computing.
Quantum Hardware Engineer
Quantum Hardware Engineers are responsible for the development of quantum computing hardware. The course lays the groundwork for success by providing a deep understanding of the mathematical model of quantum computers.
Quantum Software Engineer
Quantum Software Engineers develop software for quantum computers. Building a working quantum computer will be a significant benefit in developing software for quantum computers. In addition, the course will be helpful in understanding the algorithms for bigger quantum computers.
Quantum Physicist
Quantum Physicists are experts in quantum physics, the theory that describes the behavior of matter and energy at the atomic and subatomic level. The course will be helpful in their research, particularly in understanding quantum computers.
Theoretical Physicist
Theoretical Physicists perform research on the fundamental laws of nature. The course will be helpful in their research, particularly in understanding quantum computing.
Data Scientist
Data Scientists collect, analyze, interpret, and present data. The mathematical model of quantum computers covered in the course is helpful for understanding quantum computing algorithms.
Computer Programmer
Computer Programmers write, test, and maintain computer programs. The course may be helpful in writing and testing programs for quantum computers.
Computer Systems Analyst
Computer Systems Analysts analyze, design, implement, and maintain computer systems. The course may be helpful in designing and implementing quantum computing systems.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical methods to solve problems in various industries.
Software Developer
Software Developers create and maintain computer programs. The course may be helpful in developing software for quantum computers.
Actuary
Actuaries use mathematical and statistical methods to assess risk and financial implications.
Financial Analyst
Financial Analysts use financial data to make investment recommendations.

Reading list

We've selected eight 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 Introduction to Quantum Computing.
Covers the mathematical foundations of quantum computing, including the basics of quantum mechanics, quantum information theory, and quantum algorithms. Provides a comprehensive overview of the field.
Covers the mathematical foundations of quantum algorithms and provides a rigorous treatment of quantum circuit theory. Suitable for advanced students and researchers.
Provides a comprehensive overview of quantum computing from a physicist's perspective. Covers the basics of quantum mechanics, quantum information theory, and quantum algorithms.
Provides a gentle introduction to quantum computing for computer scientists with a background in linear algebra. Covers the basics of quantum mechanics and quantum algorithms.
Provides a comprehensive overview of quantum information science, including quantum computing. Suitable for advanced students and researchers.
Provides a practical introduction to quantum computing for engineers and computer scientists. Covers the basics of quantum mechanics and quantum algorithms.
Provides a very accessible introduction to quantum computing for non-experts. Covers the basics of quantum mechanics and quantum algorithms in a clear and intuitive way.
Provides a clear and concise explanation of the basics of quantum computing. Suitable for general audiences with no prior knowledge of quantum mechanics.

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