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Mahdi Hosseini, Pramey Upadhyaya, Avinash Rustagi, Zubin Jacob, and Mohammad Mushfiqur Rahman

Since the beginning of the 21st century, explosive advancement in the realization of quantum computing platforms has occurred, redefining information processing and computer science. With such development, multidisciplinary and advanced training is urgently needed to move the technology forward, which has applications in artificial intelligence and data science.

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Since the beginning of the 21st century, explosive advancement in the realization of quantum computing platforms has occurred, redefining information processing and computer science. With such development, multidisciplinary and advanced training is urgently needed to move the technology forward, which has applications in artificial intelligence and data science.

This MicroMasters program introduces fundamental concepts and theories of quantum information and technologies and provides an overview of various emerging technologies, including quantum communication, quantum sensing, and quantum computation. The primary focus of the program is to introduce state-of-the-art quantum bit architectures and their working principles and provide hands-on experience programming real quantum systems.

Courses in this program are designed to introduce both physics and engineering aspects of quantum technologies, in particular quantum computing, with minimal prerequisite courses. Basic undergraduate physics and mathematics courses found in typical sophomore or junior-level engineering or science degrees are sufficient.

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What's inside

One course

Applied Quantum Computing III: Algorithm and Software

(37 hours)
This course explores quantum algorithms for optimization, simulation, quantum chemistry, machine learning, and data science. It also covers hybrid quantum-classical algorithms, quantum annealing, and cloud-based quantum programming.

Learning objectives

  • How to mathematically describe basic quantum phenomena relevant to quantum technologies.
  • Engineering challenges of quantum computation.
  • How to formulate and apply basic quantum algorithms.
  • Quantum communication and sensing technologies.
  • How to analyze various quantum computing architectures.

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