Brief Introduction
Learn the fundamental postulates of quantum mechanics and how they can be mapped onto present-day quantum information processing models, including computation, simulation, optimization, and machine learning.
Description
This fundamentals course is part 1 of the series of quantum computing courses and covers aspects from fundamentals to present-day hardware platforms to quantum software and programming. This course provides the essential foundations required to understand computing models built from the principles of quantum mechanics.
This course requires a minimal set of engineering and science prerequisites but will allow students to develop a physical and intuitive understanding of the topics.
Attention:
Quantum Computing 1: Fundamentals is an essential prerequisite to Quantum Computing 2: Hardware and Quantum Computing 3: Algorithm and Software. Learners should plan to complete Fundamentals before enrolling in the Hardware or the Algorithm and Software courses.
Knowledge
- Postulates of quantum mechanics
- Gate-based quantum computing
- Quantum errors and error correction
- Adiabatic quantum computing
- Quantum simulation
- Quantum machine learning
Applied Quantum Computing I: Fundamentals
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Learn the fundamental postulates of quantum mechanics and how they can be mapped onto present-day quantum information processing models, including computation, simulation, optimization, and machine learning....
Applied Quantum Computing III: Algorithm and Software
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Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware. g. entanglement)and computing models discussed in part I....
Elixir and Phoenix: Real World Functional Programming
- 0.0
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Boost Your Programming Skills by Learning The Next Generation Functional Programming Language and Web Framework The course assumes that you’ve had some basic programming experience before....
Data Processing Using Python
- 4.2
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This course (The English copy of "用Python玩转数据" <https://www. coursera. org/learn/hipython/home/welcome>) is mainly for non-computer majors. Similarly, it may also be flexibly applied into other fields....
