What Will You Learn?
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 the Algorithm, and Software courses.
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About This Course
Provider: edx.org
Format: Online
Duration: 5 weeks to complete [Approx.]
Target Audience: Beginner
Learning Objectives: By the end of the course, You will understand the fundamental postulates of quantum mechanics and how they can be mapped onto present-day.
Course Prerequisites: Undergraduate linear algebra, physics, and chemistry.
Assessment and Certification: Earn a Certificate upon completion
Instructor: Pramey Upadhyaya
Key Topics: Learn about quantum information processing models, including computation, simulation, optimization, and machine learning.
Topic Covered:
- Postulates of quantum mechanics
- Gate-based quantum computing
- Quantum errors and error correction
- Adiabatic quantum computing
- Quantum simulation
- Quantum machine learning
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