Scientists say quantum tech has reached its transistor moment

Comments

• RedWeasel@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

  So, around 1947. Took about 14 years to get to being able to put into chips. So another decade and a half?

  source

  • photonic_sorcerer@lemmy.dbzer0.com ⁨2⁩ ⁨weeks⁩ ago

    From the byline:

    Quantum tech is at its transistor moment—promising, real, and powerful, but still years of hard work away from changing the world

    So pretty much, yeah.

    source

    • Corkyskog@sh.itjust.works ⁨2⁩ ⁨weeks⁩ ago

      Well years could be 3 years or 300 years so that doesn’t really confirm OP’s guess.

      source

      • -> View More Comments
  • funkajunk@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

    Seeing as we now have a multitude of tools available to us that we didn’t have in 1947, I imagine it would be faster.

    source

    • Gsus4@mander.xyz ⁨2⁩ ⁨weeks⁩ ago

      And an already existing consumer base with expectations that were only for hobbyists before…maybe that’s a bad thing, because it will constrain QC to evolve in ways that it would be better to explore rather than try to fit modern use cases.

      source
  • kutt@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

    I don’t think it will ever reach consumer households, since it requires extremely complex and expensive materials, tools and physical conditions. Unless a major breakthrough occurs but highly unlikely.

    Also we don’t really have a use for them, at least to regular users. They won’t replace classical computers.

    But you can already access some QCs online. IBM has a paid remote API for instance.

    source

    • baggachipz@sh.itjust.works ⁨2⁩ ⁨weeks⁩ ago

      requires extremely complex and expensive materials, tools and physical conditions.

      Counterpoint: they said the same thing when a computer was made of vacuum tubes and took up an entire room to add two digits.

      source

      • -> View More Comments
    • RedWeasel@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

      I can currently only see them used as accelerators of some type right now. Could see them used potentially for GPUs, but generally I suspect some form of compute first. GenAI anyone? SkyNET? But that is only if they can be made portable for laptops or phones which is still a major issue still needing to be addressed.

      I don’t expect them to replace traditional chips in my lifetime if ever.

      source

      • -> View More Comments
• user28282912@piefed.social ⁨2⁩ ⁨weeks⁩ ago

  So the thing with useful quantum computers is that if they ever do make it actually work and manage to scale it up, the first thing they will do is render most modern encryption obsolete over night. My guess is that Bluffdale has a mountain of encrypted data they’d start cracking immediately.

  My cynicism can’t allow me to think that we’d hear about it until years after that backlog is cleared and the NSA (and now by extension Israel and Russia) have backdoored any network of interested 10 times over.

  The far more likely scenario is that this like stable/cold-ish Fusion, practical graphene, CRiSPER miracle cures are still way more theory than driveable cars at this point and for next several years at least. These folks just want more money and have to keep claiming they are close to get it.

  source

  • LastYearsIrritant@sopuli.xyz ⁨2⁩ ⁨weeks⁩ ago

    signal.org/blog/pqxdh/

    Many companies already have transitioned to mathematically proven quantum resistant encryption.

    Sure, some old stuff will be vulnerable, but we’ve known the risk for a while and have already started preparation.

    source
  • FE80@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

    Post quantum cryptography is already standardized and is being actively rolled out.

    csrc.nist.gov/projects/post-quantum-cryptography www.openssh.org/pq.html

    source

    • pinball_wizard@lemmy.zip ⁨2⁩ ⁨weeks⁩ ago

      Post quantum cryptography is already standardized and is being actively rolled out.

      Yes. Which is good, because it’s easy to imagine that every intelligence agency is either over or under-reporting how much quantum decryption they have available.

      source
  • neonix@reddthat.com ⁨2⁩ ⁨weeks⁩ ago

    There’s an area of research producing “quantum ready encryption”, which uses algorithms that are believed to be secure against quantum attacks. There’s been no wholesale migration to this yet, and the protection remains hypothetical until the attacks actually happen.

    source
  • ScoffingLizard@lemmy.dbzer0.com ⁨2⁩ ⁨weeks⁩ ago

    At least the NSA is not Google.

    source
• Telorand@reddthat.com ⁨2⁩ ⁨weeks⁩ ago

  Wake me when they make the contemporary analog to the Apple 2e. Otherwise, this just sounds like a bunch of giant corporations that continue peacocking around in an effort to get VC money.

  I applaud the scientists, however, who do this kind of stuff for the love of discovery. Good luck to all of them.

  source

  • certified_expert@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

    With the “vision” of current corporations… that won’t happen.

    source
• bibbasa@piefed.social ⁨2⁩ ⁨weeks⁩ ago

  science is being slopified

  source

  • ThrowawayPermanente@sh.itjust.works ⁨2⁩ ⁨weeks⁩ ago

    “To compare how far each platform has advanced across computing, simulation, networking, and sensing, the researchers used large language AI models such as ChatGPT and Gemini to estimate technology-readiness levels (TRL).”

    Mother fucker

    source

    • reptar@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

      Oh that’s funny

      Actually, maybe it’s a perfect fit

      source
• phoenixz@lemmy.ca ⁨2⁩ ⁨weeks⁩ ago

  Any day now!

  Any day now, for the past 30 years or so.

  Well? We’re waiting!

  source

  • SuspciousCarrot78@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

    It already happened. And didn’t happen. At the same time.

    source
• melsaskca@lemmy.ca ⁨2⁩ ⁨weeks⁩ ago

  The intellectual elite always dangling that carrot (of hope) from a stick (of almost there).

  source
• assassinatedbyCIA@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

  Ill believe it when I see it.

  source
• BurgerBaron@piefed.social ⁨2⁩ ⁨weeks⁩ ago

  Bullshit.

  source
• leastaction@lemmy.ca ⁨2⁩ ⁨weeks⁩ ago

  To compare how far each platform has advanced across computing, simulation, networking, and sensing, the researchers used large language AI models such as ChatGPT and Gemini to estimate technology-readiness levels (TRL).

  They asked ChatGPT? That’s the paper?

  source