Quantum Computing: Job Prospects, Education & Combined Degrees

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Discussion Overview

The discussion centers around the prospects of pursuing a career in quantum computing (QC), including concerns about education pathways, job opportunities, and the relevance of combined degrees in physics and engineering. Participants explore various aspects of the field, including theoretical and practical applications, as well as the competitive nature of the job market.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • One participant expresses interest in quantum computing but is uncertain about the necessity of a computer science background for research and development roles.
  • Another participant highlights the diverse approaches within quantum computing, ranging from engineering and physics to algorithmic and computational aspects.
  • A participant mentions a preference for the engineering/physics side of quantum computing and expresses concerns about job competitiveness in the field.
  • Concerns are raised about the practicality and current applications of quantum computing, with a belief that conventional computers suffice for everyday use at present.
  • Decoherence is identified as a significant challenge in the development of qubits, impacting their utility in practical applications.
  • One participant suggests that skills gained in quantum computing could be transferable to other industries, emphasizing the importance of a broad skill set in job markets.
  • Another participant expresses optimism about the future growth of quantum computing research, citing its foundational role in various scientific and engineering disciplines.
  • Concerns about the feasibility of attending a prestigious university are voiced, with a participant contemplating alternative career paths if their plans do not succeed.

Areas of Agreement / Disagreement

Participants express a mix of optimism and concern regarding the future of quantum computing and its job market. There is no consensus on the necessity of a computer science background or the immediate applicability of quantum computing technology.

Contextual Notes

Participants acknowledge the competitive nature of the field and the uncertainty surrounding job prospects, education requirements, and the evolving landscape of quantum computing applications.

|mathematix|
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I am very interested in Quantum Computing but I am worried about getting a job, making it into a good university to do post grad etc.
Do I need to do computer science to work in quantum computing research and development? I like computers but I don't like studying it, I have textbooks of computer science (my dad did computer science) and I find it very boring, i.e. the flow charts, binary etc.
I am thinking of doing a combined physics and engineering degree, major in electrical/electronics engineering and physics. Is that a good idea?
Thank you!
 
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Hey |mathematix| and welcome to the forums.

What part of QC are you looking at? There are many approaches that range from the EE and Physics sides (like Optics, Decoherence, Materials, etc) to the algorithmic/computational sides and there is quite a bit of space between them. What side are you keen on?
 
I don't like programming so definitely the engineering/physics side.

It seems like an extremely competitive field, so I am not sure if I will find a job.

I would love to work on making it more practical and easier to use and operate but I heard that this isn't needed because conventional computers are more than enough for everyday use for now. QC are only used for research, military, and stuff like that.
 
The biggest problem is decoherence: basically you setup qu-bits but they docohere too quickly to be useful (and when scaling systems with more qu-bits, it gets worse).

I don't know about getting a specific job in QC research, but I would suggest that with the right experience you get directly transferable skills to some other industry job.

Remember that education nowadays doesn't just set you up for a specific job. Typically what happens is that for many jobs without professional requirements (teaching, nursing, law, medicine, engineering, etc), you look for people that can do the job and if they have the right background and are competent, then you hire them.

Its very rare that an employer is going to get the "perfect candidate" for their job. For some jobs they might but for others, they get the one who is good enough in so many areas.

Its like trying to get the perfect husband or wife: you might get lucky, but in a lot of cases you have to have trade-offs and put up with someones quirks or nuances.

If you don't believe me then talk to all the people that complain about their jobs and their co-workers and you'll see what I'm getting at.
 
I agree with you.

Do you think QC research will grow in the future?
 
I do for the following reasons.

The first is that computation is at the heart of everything. Its used for every kind of scientific and engineering discipline and breakthroughs in computation will easily seep over into every one of these domains.

All the banking/finance, bio-tech, engineering, and science areas depend on computation power and good algorithms. It doesn't matter whether you are trying to design drugs or genes or whether you are trying to simulate galaxies and black holes: the computation power and algorithms are needed to do it.

The militaries of the world have an exceptional interest in computation and the NSA is proof of that.

Computation is basically what the flint axe or the steam engine used to be and its becoming not only a tool but a weapon for any government or regime that has all the computing power.

As long as this situation exists (and it will always exist), computational research of any kind (including the QC model) will always exist without exception.
 
I am very interested but if my plans fail and realistically that is a possibility as I am definitely not guaranteed that I will be able to make it to a good US or European university, I will spend the rest of my life teaching at high school or working in fast food so I need to think very carefully.

Thank you!
 

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