272 karma · joined January 25, 2017
Besides, doing pure math as a vocation was and still is an incredibly niche and privileged profession that 1-O(e^-n) of the population had access to anyways. If anything we will need more mathematicians, more engineers and more physicists to keep up with the increased throughput. Maybe journals will finally start EMPLOYING (gasp!) some referees instead of relying on free labor from broke graduate students even!
Instruments are not inculpable as you think they are.
It doesnt even make sense in your post because "programming" isn't "doing computer science". You're not better than a teacher in any notion because you asked chatgpt to generate some slop.
Yeah deep learning is applied topology, it's also applied geometry, and probably applied algebra and I wouldn't be surprised if it was also applied number theory.
This is immaterial, however. It is a well known fact that BQP is in PSPACE and Clifford circuits (a subclass of quantum circuits) can not only be simulated classically, but done so efficiently. It is not controversial.
QC researcher here, strictly speaking, this is false. Clifford circuits can be efficiently simulated classically and they exhibit entanglement. The bottom line is we're not entirely sure where the (purported) quantum speedups come from. It might have something to do with entanglement, but it's not enough by itself.
Re: about mermin's device, im not sure why you think it can not be simulated classically when all of the dynamics involved can be explained by 4x4 complex matrices.
Let me give you some numbers. Factorising RSA is order 10^6 logical qubits (and I'm being charitable here), simulating FoMoCo is around 10^7. The state of the art error correction is around (again, charitably) 10^3 physical qubits per logical qubit at the moment, that gives us 10^9-10^10 qubits necessary for the simplest quantum application. We're at order 100 right now.
Peter Shot thinks that error correction can go down to 100 physical-per-logical, that's an order of magnitude shaved off there, but the algorithm itself is pretty basic, i don't see it getting any better there. Simulation algorithms have much better odds in seeing improvements as I think the gates used there are rather non-standard and have avenues for better gate compilation techniques.
Also IBM released a paper[1] recently making similar claims ("quantum advantage without complete error correction") which got obliterated by 2 back to back papers [2,3] that did what they did for much cheaper on a classical computer.
[0]: https://arxiv.org/pdf/2304.11119.pdf
[1]: https://www.nature.com/articles/s41586-023-06096-3
However. This paragraph straight up displays a fundamental lack of understanding by Hossenfelder:
> Last time I looked, no one had any idea how to do a weather forecast on a quantum computer. It’s not just that no one has done it, no one knows if it’s even possible, because weather is a non-linear system whereas quantum mechanics is a linear theory.
Unitary evolution generated by the Schrödinger equation is a linear map on _probability amplitudes_, just like how classical (probabilistic) computing performs linear operations on _probability distributions_. The commonly used quantum circuit model is a superset of classical logic gates and can accomplish anything a probabilistic classical computer can, so if anything is possible in a classical computing scheme, it's also possible in the quantum circuit scheme.
I don't have much sympathy for her since this is not the first time Hossenfelder has displayed a lack of understanding, recently she has published a paper criticizing another one [1], now replaced with a much shorter text due to being told [2] by the authors of the original paper.
Yeah I get it, it's dumb when the president of BofA is talking about how QC is "the next big thing", I know it's not coming Soon^TM, but saying "we will never have a quantum computer because the current ones suck" has the same energy as "the world doesn't need more than 5 computers" imo.
I'm writing this as a person who regularly sleeps at 3 AM and works alone in a very disorganized manner, but I have no illusions about the healthiness or ubiquity of my lifestyle.
* Reviewers are basically forced to it for free. If you're a researcher you won't have the time to properly fact check a 40 page paper for free, it just isn't going to happen. So they (we) don't. The review process isn't very rigorous.
* Journals are leeching off of the public money by double whammying both the scientists and the institutes while providing minuscule value. Their gains are absolutely disproportionate to what they provide.
* Even the most involved and convoluted peer review processes aren't as anonymous as you think. When there's already a handful of people in your field, you can pretty easily tell someone's identity from their writing style.
I would love to pretend that the system is great and works very well but it just doesn't and this pretense and the phenomenon of holding new systems to a higher standard than the current one is preventing us from actually improving the system.
> It is not free to publish journals, or keep tens of thousands of them, with millions of articles, around indefinitely, for instant access by anyone on the web.
it's not free but it's pretty cheap. you can pay a tiny fraction of what the public universities are currently paying for access to these journals to maintain a repository of scientific papers.
look at scihub, is it being funded by Bezos, Bill or Buffet? no. if a single person can host all those papers herself backed by only random donations, I don't think any government or hell, any university would have any trouble doing the same thing with marginal amount of support.