 They either work with mathematical models, say to model a star or a galaxy, or they work with computational simulations that kind of take those mathematical models to the next level. Maybe the equations aren't that simple, so you mix in different equations and then you solve those equations on a computer. And then the data that you analyze instead of coming directly from the stars is coming from the computer. And in the end, what makes it meaningful is that you want the predictions coming from your mathematical models or your simulations to match the data that's being analyzed by the astronomers or experimentalists. I've done work in cryptography and security. There's elements of quantum computing that intersect with that. I've done work in computer science and artificial intelligence. There's elements of quantum computing nowadays being used in machine learning. And I've done work in fundamental physics trying to figure out the fundamental laws of gravity and there are elements of quantum computing which help us understand the fundamental laws of physics. Having quantum computing on your radar as a researcher, no matter what area of science that you're in, and being able to follow the general articles so that you can spot as a researcher the point at which experimental quantum computing has reached the level where it would be useful in your research and not coming to the party five or ten years late would be very useful for people on the cutting edge. When is this going to be relevant for my research? What's the state of the art in the field? Another commonly asked question is, what does that actually mean when I hear something as this many qubits? What does that translate into in terms of practicality? Quantum computing had kind of the intersection of a variety of different fields that have been involved in cryptography, artificial intelligence, physics. My new job will have the intersection of aerospace and astrophysics and cryptography and artificial intelligence. I'm going to be working as a cyber security researcher for deep space missions. I guess the message that I would convey to the general audience is that quantum computing might seem rather esoteric or far off if you read popular accounts, you know, you think quantum mechanics, Schrodinger's cat, paradoxes, you know, all sorts of bizarre behavior that might be hard to wrap your mind around. Fundamentally, if you're going to study the mathematics of quantum mechanics, it's not that complicated. There's a couple rules that you need to learn that involve matrices and you could even study these rules without knowing any other mathematics. And as long as you know these rules, you will be able to do computations on small number of qubits just as well as an ideal quantum computer. So although the consequences of quantum mechanics are mysterious, understanding the basic building blocks behind those quantum mechanics, those consequences that are mysterious, is not mysterious at all.