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Purdue University

Quantum Technology: Computing

Purdue University via edX Micromasters

Overview

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.

Syllabus

Courses under this program:
Course 1: Introduction to Quantum Science & Technology

Learn about fundamental concepts and engineering challenges of quantum technologies.



Course 2: Applied Quantum Computing I: Fundamentals

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.



Course 3: Applied Quantum Computing II: Hardware

Learn how present-day material platforms are built to perform quantum information processing tasks.



Course 4: Applied Quantum Computing III: Algorithm and Software

Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware.



Course 5: Quantum Detectors

Learn about quantum sensors and devices that extract maximal information from the world around us.



Courses

Taught by

Mahdi Hosseini, Pramey Upadhyaya and Zubin Jacob

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