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.
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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.
This course is part of the Quantum Technology: Computing MicroMasters and Quantum Technology: Detectors and Networking MicroMasters.
What you'll learn
- Postulates of quantum mechanics
- Gate-based quantum computing
- Quantum errors and error correction
- Adiabatic quantum computing
- Quantum simulation
- Quantum machine learning
