Learn Quantum Computing: Physics, Math & Theory Basics

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SUMMARY

To effectively research quantum computing, a solid foundation in quantum mechanics is essential, along with advanced mathematics, particularly linear algebra. Recommended subjects include Quantum Field Theory, Atomic Physics, and Quantum Electrodynamics. For computational aspects, focus on quantum algorithms and quantum information theory, while the physics side requires knowledge of various methods for building quantum computers. Key resources include the book "Quantum Computation and Quantum Information" by Nielsen and Chuang, and online materials by experts like John Preskill and Scott Aronson.

PREREQUISITES
  • Quantum Mechanics (upper division undergraduate level)
  • Linear Algebra (essential for both computation and physics aspects)
  • Quantum Field Theory (for advanced understanding of quantum systems)
  • Quantum Information Theory (for computational applications)
NEXT STEPS
  • Study "Quantum Computation and Quantum Information" by Nielsen and Chuang
  • Explore online lectures and notes by John Preskill and Scott Aronson
  • Learn advanced topics in Quantum Field Theory and Atomic Physics
  • Research computational complexity and algorithms in quantum computing
USEFUL FOR

This discussion is beneficial for aspiring quantum computing researchers, physics students, and computer scientists interested in the intersection of quantum mechanics and computational theory.

sol66
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I know this is a rather new field of research and that I may seem rather silly for asking, but I would like to know besides upper divison undergrad quantum mechanics ( which I've already studied ), what other subjects should I learn to get the basic background for researching quantum computers.

Physics and especially quantum mechanics is an interesting subject, in which I've felt that I've learn so much yet I cannot see how I would even apply it to creating qubits. My understanding of quantum mechanics goes as far as pertubation and such, but that is about it.

Also, what other types of math should I learn, possibly topology or differential geometry? I'm guessing Quantum Field Theory, Atomic Physics, and Quantum Electro Dynamics would be the next theories I might want to learn. But then again I don't want to waste my time picking up on things that are useless.

I am ofcourse infinnetly ignorant so please educate me. Oh, and telling me I'm crazy isn't going to keep me from learning.
 
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It depends whether you are more interested in the computation side of quantum computing (e.g., quantum algorithms, quantum information theory, etc.) or more interested in the physics side (figuring out how to actually build quantum computers). On either side, I think having a really strong knowledge of linear algebra is the most important thing from a math point of view. As far as I know diff. geom. doesn't have direct application to quantum computing, but I could be wrong. Topology, information theory, more advanced algebra would certainly be useful. For the computation side, you'd want to take mostly CS theory courses in algorithms, theory of computing, computational complexity, etc. On the physics side, I think anything you mentioned would be useful but it really depends on the specific area you want to work in, as there are many different methods of building quantum computers that are currently being researched.

Your best bet is probably to pick up the Nielsen+Chuang book, or to read the online books/notes by John Preskill, Scott Aronson, etc. to get the foundations of quantum computing down, and then you'll see what areas you are weak in, or what areas you are particularly interested in and figure out your future studies based on that.
 

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