Corspedia | Quantum Technology: Computing

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

Emerging quantum systems are disruptive technologies redefining computing and communication. Teaching quantum physics to engineers and educating scientists on engineering solutions are critical to address fundamental and engineering challenges of the quantum technologies.

This course provides an introduction to various quantum technologies by overviewing laws of quantum physics, quantum systems and their engineering challenges. In particular, the course reviews various implementation of quantum communication and computation and basic science and engineering behind the technology.

Students will have an opportunity to complete tasks using Microsoft Azure Quantum in the cloud.
Of note: The final session of this course will begin February 12, 2024. This course will be retired after the spring session and will no longer be available. Learners who purchase this course will need to complete the course during the final spring session.

Classical detectors and sensors are ubiquitous around us from heat sensors in cars to light detectors in a camera cell phone. Leveraging advances in the theory of noise and measurement, an important paradigm of quantum metrology has emerged. Here, ultra-precision measurement devices collect maximal information from the world around us at the quantum limit. This enables a new frontier of perception that promises to impact machine learning, autonomous navigation, surveillance strategies, information processing, and communication systems. Students in this 5-week short course will learn the fundamentals about state-of-the-art quantum detectors and sensors. The primary goal of the course is to empower students with a critical and deep understanding of emerging applications at the quantum-classical boundary. This will allow them to adopt quantum detectors and sensors for their own endeavors.

Quantum Technology: Computing

Brought by: edX

Overview

Syllabus

Courses

Introduction to Quantum Science & Technology

Quantum Detectors

Taught by

Quantum Technology: Computing

Brought by: edX