Quantum Algorithm Developer
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Find a path to becoming a Quantum Algorithm Developer. Learn more at:
OpenCourser.com/career/aeredo/quantum
Reading list
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A comprehensive overview of quantum computation and quantum information, written by two of the pioneers in the field. Suitable for advanced undergraduates and graduate students.
A classic textbook on quantum field theory, written by one of the pioneers in the field. Provides a comprehensive overview of the subject, including applications to particle physics and condensed matter physics.
A comprehensive overview of quantum information theory, suitable for graduate students and researchers. Provides a thorough understanding of the foundations of quantum information and its applications.
A thorough mathematical treatment of quantum information, suitable for graduate students and researchers. Provides a strong foundation for understanding the theoretical underpinnings of quantum technology.
A rigorous mathematical treatment of quantum mechanics, suitable for mathematicians and physicists. Provides a deep understanding of the foundations of quantum technology.
A comprehensive overview of quantum error correction, suitable for graduate students and researchers. Provides a thorough understanding of the foundations of quantum error correction and its applications in various fields.
Provides a comprehensive introduction to quantum information theory, covering the fundamental principles, protocols, and applications of quantum information. It valuable resource for researchers, students, and professionals in the field.
A clear and concise introduction to quantum mechanics, written for a general audience. great starting point for those who want to learn more about the basics of quantum technology.
Provides a concise and rigorous introduction to the mathematical foundations of quantum systems. It covers the principles of quantum mechanics, including state spaces, operators, and evolution, making it a valuable resource for graduate students and researchers in physics, mathematics, and computer science.
A concise and accessible introduction to quantum gravity, written for mathematicians and physicists. Provides a good overview of the basic concepts and challenges of quantum gravity.
Provides a comprehensive introduction to the emerging field of quantum machine learning. It covers the fundamental principles, algorithms, and applications of quantum machine learning, making it a valuable resource for researchers, students, and professionals.
Provides a unique approach to the study of quantum algorithms, using linear algebra as a foundation. It covers the fundamental principles and techniques of quantum algorithms, making it accessible to a wider audience.
This introductory textbook provides a gentle but rigorous introduction to quantum computing. It covers the foundations, algorithms, and applications of quantum computing, making it suitable for undergraduates, graduate students, and professionals.
Provides a practical introduction to quantum computing, focusing on the applications of quantum computing in various industries. It valuable resource for professionals who want to understand the potential of quantum computing.
A gentle introduction to quantum computing, suitable for those with little or no prior knowledge of the subject. Provides a clear and intuitive explanation of the basic concepts.
A clear and engaging explanation of quantum computing, written for a general audience. Provides a good understanding of the basic concepts and potential applications of quantum technology.
Discusses the history, progress, and future prospects of quantum computing. It provides an accessible overview of the field, making it suitable for readers with a general interest in science and technology.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/aeredo/quantum
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