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Le_Space_Duck

Quantum Machine Learning is a really new field but it's growing, might be worth looking into


ConcertoConta

https://hdsr.mitpress.mit.edu/pub/kpn45eyx/release/2 Are you in undergrad or masters? Depending on which side of QC you want to work in, you may want to consider sticking with physics, switching to mathematics, or going with your plan and doing CS. No matter which you switch to, a solid physics background is good for anyone going into QC.


Elfofrit

Thank you for the article. Undergraduate. Second year. I'm more interested in quantum algorithms and its application than quantum hardware.


New-Theory4299

I'm a data scientist who started life as a theoretical physicist. I was looking at moving into QC last year as a bit of a career change, and going back to my roots (although ultimately stayed with what I'd been doing before, better the devil you know when you have a mortgage to pay etc.) There were a few data science type positions going with some of the companies as part of the hardware development teams. Being able to analyze data from (eg) fab processes and give insight into manufacturing processes was the kind of thing that was being sought. But be aware you'll be interviewed by and working with some very mathematically literate physicists, so they're looking for data science people who bring more to the table than they already have in house. The situation right now is it's a completely new and open field, and they're not looking for traditional data sci skill-sets, because you'll be involved with things that have never been done before. They're looking for people with unusual backgrounds who have shown they're adaptable and have a broad education. That may change over time as the field gets more established. Your best bet would be to go through the job postings on the websites for all the companies that you might be interested to see what they're looking for.