Will computers make mathematicians obsolete?

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SUMMARY

The discussion centers on the impact of quantum computing on the future of mathematics and the role of mathematicians. Participants argue that while quantum computers, such as those utilizing Shor's algorithm for factoring, may enhance computational capabilities, they will not replace mathematicians. The complexity of mathematical proofs, particularly in areas like NP completeness, requires human intuition and logical deduction that machines cannot replicate. Ultimately, the consensus is that computers will assist mathematicians rather than render them obsolete.

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  • Understanding of quantum computing principles, specifically Shor's algorithm.
  • Familiarity with NP completeness and its implications in computational complexity.
  • Knowledge of mathematical proof techniques and logical deduction processes.
  • Awareness of the limitations of current computational methods in solving infinite cases.
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  • Research the applications of Shor's algorithm in quantum computing.
  • Explore the concept of NP completeness and its significance in algorithm design.
  • Study the role of computers in mathematical theorem proving and conjecture generation.
  • Investigate the limitations of current computational models in addressing complex mathematical problems.
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Mathematicians, computer scientists, and researchers interested in the intersection of quantum computing and mathematical theory, as well as those concerned about the future of mathematical careers in the age of advanced computing.

  • #31
There is already a sizable branch of mathematics close to computer sciences that deals with developing algorithms for computers so that they can carry out math.

The more powerful the computers, the wider the scope for exotic math to be carried out by them, so if anything, the progress in computers has increased the need for mathematicians.

As to the mind being just another machine that can be replaced by a computer - this probably is true in theory, but we are still a far cry away from that. "Artificial intelligence" can so far only solve very few, very very well defined problems. Last time I checked, you could not tell a computer "sit in that car, learn to drive, drive yourself to that Chess tournament, learn the game, win, come back and do my homework on partial differential equations".

PS: I did not want to give the impression that I could do that :)
 
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  • #32
doubled5 said:
The mind is not made up of fairy dust and unicorns. It is itself a machine. Any and all insights you or anyone have towards math can be replicated by a computer.


That's the theory, but no one knows how to do it. So one may or may not believe that.
 
  • #33
Mr.Watson said:
I would still like to hear your thoughts about this kind of theorem finding. Is it feasible and could it replace human mathematicians?

I looked into it in about 1995. It's called automatic theorem proving. I found that everyone in the field had given up, and had abandoned their graduate students.

The most positive results were Doug Lenat's from CMU. It so happens that I worked for a former CMU professor who told me that the consensus there was that Lenat's results were bogus.

The basic problem is that mathematicians do not know how they prove difficult theorems. Brute force search, such as used in chess, seems entirely unfeasible even in theory.

So I gave up on that.
 
  • #34
To OP: No. We have programs which simulate physics very accurately. But it did not make physicists obsolete.
 

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