Programs CE + Phys or CE + Math: Interested in Quantum Computing & AI

AI Thread Summary
A university student is considering a double major in Computer Engineering (CE) with either Physics or Mathematics, aiming to work in quantum computing and advanced AI. The consensus suggests that a CE and Mathematics combination may be more beneficial, as mathematics complements CE and provides a foundation for advanced physics relevant to quantum computing. Additionally, AI typically aligns more closely with Computer Science than CE. The importance of elective courses is emphasized, as they can enhance knowledge in both fields. Pursuing graduate studies is also recommended for those interested in advanced topics.
Jpmcke
Hey all, I'm a student in university who wants to Double Major in Computer Engineering and Physics or Computer Engineering and Mathematics. Ideally I want to get some time in working on quantum computers and some time in working on advanced AI, so one of the big things I want to do is pick the community's brain on whether CE + Phys or CE + Math major is best for these ambitions.
 
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From what I've seen, AI is normally a blend of CE and advanced statistics (i.e. mathematics). I think that math would be the best 2nd degree, since it would be able to complement CE well and is a good springboard into the advanced physics needed to understand quantum computing.
 
AI will be closer to CS than CE. That being said its really about what electives you take. Usually you can take electives in other departments.
If you want to do advanced stuff you'll most likely have to go to grad school.
 
guys i am currently studying in computer science engineering [1st yr]. i was intrested in physics when i was in high school. due to some circumstances i chose computer science engineering degree. so i want to incoporate computer science engineering with physics and i came across computational physics. i am intrested studying it but i dont know where to start. can you guys reccomend me some yt channels or some free courses or some other way to learn the computational physics.
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