Quantum Technology: Detectors and Networking

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Skills Covered: Quantum Networking, Quantum Detectors, Quantum Sensors, Quantum Computing, Hardware, Algorithm, Software, Quantum Mechanics, Quantum Networking, Quantum Protocols, Network Architectures, Quantum Noise, Photon Detectors, Quantum Metrology, Quantum Detectors, Classical Detectors, Quantum Coherence, Quantum Computing, Quantum Simulation, Quantum Machine Learning, Quantum Platforms, Search Algorithms, Hybrid Quantum, Classical Algorithms, Quantum Annealing, Simulation, Optimization Algorithms

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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.



  • How to design and incorporate quantum detectors in various systems.
  • Quantum networking and sensing technologies.
  • Engineering challenges of quantum computation.
  • How to formulate and apply basic quantum algorithms.
  • How to analyze various quantum computing architectures.



  • Engineers and scientists with skills related to quantum technology and its applications are expected to be in high demand in industries in both the public and private sector.
  • Career opportunities include quantum programming, RF engineering, optical measurement and communication, cryogenic design and engineering, and quantum system engineering.
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Quantum Technology: Detectors and Networking
Quantum Technology: Detectors and Networking


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