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Ruben Ruiz-Torrubiano

  • Joined Apr 9, 2020
  • In Uncomputability, Intractability and the Multiverse by Ruben Ruiz-Torrubiano

    Hi!

    Thank your for your comments.

    I will surely take a look at your essay, too.

    Best regards,

    Ruben

  • In Math Matters by Sabine Hossenfelder

    Dear Sabine,

    Thank you for your very good and well-written essay. I mostly agree with your main contributions. There is however one point that I have to disagree with which is expressed by your sentence: "Physics isn't math, and Godel's theorem is irrelevant for scientific practice". I agree that physics isn't math, but I think scientific practice, as opposed to a scientific, falsifiable theory, embodies more than things that have testable consequences. As a computer scientist, I think all my CS and math colleagues would agree that Gödel's theorem is indeed relevant for scientific practice in their respective fields, although not having any testable consequences. I think it would have been more correct to talk about "scientific practice in the physical sciences" instead of "scientific practice" in general.

    Best regards,

    Ruben

  • In Uncomputability, Intractability and the Multiverse by Ruben Ruiz-Torrubiano

    Hi! No, I'm actually not saying the multiverse is ruled out, but that by means of the Computational Cersorship Hyphothesis we are not able to use the multiverse for computational tasks. The multiverse may as well exists, and I personally think it will not be possible to rule it out completely, although I personally don't believe in it.

  • In Uncomputability, Intractability and the Multiverse by Ruben Ruiz-Torrubiano

    Essay Abstract

    If the many-worlds interpretation of quantum mechanics is correct, is there any way to harness the computational power of the multiverse to compute in practice intractable problems? We introduce the Computational Censorship Hypothesis to answer this question and explore its implications.

    Author Bio

    Dr. Ruben Ruiz-Torrubiano is computer scientist and Chief Technology Officer of Untis, an Austrian based optimization and timetabling software firm. He received his PhD from the Autonomous University in Madrid in 2012 and initially pursued optimization and machine-learning oriented research. His main research interests include combinatorial optimization, machine learning, complexity theory, management science and philosophy of science.

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