• drspod@lemmy.ml
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    4 days ago

    They’ve pissed so many billions of dollars into quantum computing, at least they’re using it for something.

    Did anyone tell them that you can use the noise in a semiconductor junction to produce truly random numbers too? You can buy one for a few pennies.

  • Treczoks@lemmy.world
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    4 days ago

    Having worked in the field and having seen my fair share of supposedly “true” random numbers, I would really like to see how they would proof this bold claim.

    • technocrit@lemmy.dbzer0.com
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      4 days ago

      I’m crypto-neutral and quantum-skeptical but this seems like a legit threat.

      The other major cryptos have moved to a proof-of-stake which is more centralized, but also more flexible. For example I can easily imagine ETH upgrading to post-quantum cryptography.

      But Bitcoin is much less flexible. It has never evolved past proof-of-work. It’s much harder for me to imagine a unified upgrade for post-quantum BTC.

  • DancingBear@midwest.social
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    3 days ago

    For a number to be truly random (assuming positive integers) wouldn’t it have to be anywhere between 1 and infinity? What good is a 20 million digit long integer? Or a 103 billion digit long integer?

    What I mean is, is it possible to even have a truly random number within a set of rules, say 1-100?

    I guess I already gave a rule by saying positive integers, I don’t know this is crazy!

    But have you ever come up with a random number on weeeeeeeeed, mannnnn

    • scratchee@feddit.uk
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      3 days ago

      If you select a number “fairly” (ie every number equally likely, not skewed towards smaller numbers) and your scale goes to infinity, I’m pretty sure the number you get out will be infinitely long, almost always (sure, you could get the number 10, but infinity is… infinite, so any number that gets picked will tend to be beyond anything we ever experience or know how to write down)

      To put it another way, using your scheme, we’d only ever need 1 random number ever, it’d just keep printing forever and we could cut up chunks of it whenever we needed some random and it would just keep printing on and on.

      • DancingBear@midwest.social
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        3 days ago

        That’s like the subsets of infinity which are also infinite? I’ve seen videos online that are really interesting to me but I’m no mathematician

        • scratchee@feddit.uk
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          3 days ago

          Pretty much, yeah. If you assume the number will be somewhere “in the middle”, then pick any number to be in the middle of 0 and infinity, you’ll always find you can double the number and still not be at infinity, so eventually you have to conclude that the halfway point is also infinity.

      • SoftestSapphic@lemmy.world
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        3 days ago

        The issue is no random number generator can be truely random because the number will always be seeded by something that isn’t technically random

        Even cloudflare came up with a pretty “random” method of seeding their encryption keys with a wall of lava lamps, but even the program that takes the video feed of their lava lamps can theoretically be reverse engineered to process the same feed of lava lamps the same way to get the same results.

  • AstroLightz@lemmy.world
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    4 days ago

    Is it truly random though? If in a specific point in time, the number generated is always the same, then that’s not truly random.

    Absolute true randomness would be a different result every time it is generated in that specific point in time.

    A bit Sci-Fi and probably unrealistic opinion, but it does make me curious about how this kind of randomness could be implemented.

    • ReallyActuallyFrankenstein@lemmynsfw.com
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      3 days ago

      I mean, when you collapse that logic you’re effectively saying random is the same thing as non-deterministic. But they’re different things, because even if an infinitesimally exact moment in time may “always” produce the same result, because the arrow of time only points in one direction, no such deterministic result can ever be replicated, and if the result cannot be replicated, then what is the difference from random?