Classical detectors and sensors are ubiquitous – examples include heat sensors in cars, light detectors in camera cell phones and magnetic field sensors in navigation systems. 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, sensing platforms, autonomous navigation, surveillance strategies, information processing, and communication systems.
In this MicroMasters, students will learn the fundamentals of state-of-the-art quantum detectors and sensors with an emphasis on the important applications of quantum networking.
In addition, they will also learn the important foundational principles of quantum computers, quantum information, quantum communications, quantum sensors and quantum bits. They will be introduced to state-of -the-art quantum computing architectures and their working principles and will also gain hands-on experience programming real quantum machines.
Courses in this program are designed to introduce both physics and engineering aspects of quantum technologies, in particular quantum detectors/sensors/networking/computing, with minimal prerequisite courses. Basic undergraduate physics and mathematics courses found in typical sophomore or junior-level engineering or science degrees are sufficient.
Courses under this program: Course 1: Quantum Networking
Learn about the science and engineering of future quantum networks whose security is guaranteed by laws of quantum physics.
Course 2: Quantum Detectors and Sensors
Learn how to analyze and design quantum sensors and devices that extract maximal information from the world around us
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 4: Applied Quantum Computing II: Hardware
Learn how present-day material platforms are built to perform quantum information processing tasks.
Course 5: Applied Quantum Computing III: Algorithm and Software
Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware.
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 in-depth course will learn the fundamentals about state-of-the-art quantum detectors and sensors. They will also learn about quantum noise and how it limits quantum devices. 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.
Applying exotic quantum properties such as entanglement to every-day applications such as communication and computation reveals new dimensions of such applications. Quantum encoding and entanglement distribution provide means to establish fundamentally secure communication links for transfer of classical and quantum data.
Generation, transmission and storage of quantum optical information are basic processes required to establish a quantum optical network. This course describes the physics behind these processes and overviews various implementation approaches. Technologies including quantum key distribution, quantum repeaters, quantum memories and quantum teleportation will be discussed and their engineering challenges will be evaluated.