Quantum computing has been a relatively new research area in the physics and computer engineering combined fields since Feynman proposed an abstract model of quantum computer in 1980s. After Shor presented the algorithm for practical implementation of quantum computing in 1994, the research of quantum computing has grown quickly. However, there is a gap between the academic research and the application to industry. This survey paper attempts to fill the gap by presenting the application to the industrial needs specifically to the needs of the aerospace industry.
In a smart weapon system, reliability of the sensor system is the most essential characteristic. Self Test (ST) is a way to diagnose the health of the system in order to keep the system reliable. It is important to measure reliability not only right before system deployment but also during the system development. For a robust self test design, many things need to be addressed. One important consideration is a way to input threshold values without code change to the released self test. Threshold values can be ever changing measuring sticks depending on each sensor's characteristics or material changes during the development of sensors. Another consideration is a way to do fault isolation to enable component replacement. In this paper, we will present how we have built a robust self test for the MMS. In the conclusion, lessons learned will be shared.