David Deutsch, in his book "The Fabric of Reality", gives example of a problem that is presumably easily solvable by the quantum computer. On the other hand, he explains that the total number of particles in the universe is smaller than number of computations that will take place. The question that he poses is where the problem was actually solved? His answer is that there parallel universes, and the computation is performed in these universes. He also stipulates that the "weird" quantum behavior of particles, such as spooky action at a distance, all could be explained by the multiverse. What is your opinion about the multiverse and potential of quantum computers to solve quantum physics problems?
I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
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Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#222Hi Scott There are non-quantum physical systems that exhibits positive and negative amplitudes and interference. Can I factor large numbers by throwing rocks in a lake and measuring the water height at the right place? Why not?
https://en.wikipedia.org/wiki/Analog_computer
An analog computer or analogue computer is a form of computer that uses the continuously changeable aspects of physical phenomena such as electrical, mechanical, or hydraulic quantities to model the problem being solved
I don't think it has much to do with QC, but analog computing is interesting in its own right.
Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#223What would be the best way to understand the relation between amplitudes and probabilities in the “non-quantum” world? In your NYT piece you say that it would be weird to give a “sq(-1) probability of rain tomorrow”, but are there relatable uses or cases for amplitudes outside of quantum physics?
Having said that, in classical probability theory, it's sometimes useful to look at the (positive) square roots of probabilities, for example to get a distance measure between probability distributions. See here:
https://en.wikipedia.org/wiki/Bhattacharyya_distance
Also, we've often been able to use quantum tools to prove new results even about classical theoretical computer science. See here for a beautiful survey, though one that's already a decade out of date:
https://arxiv.org/abs/0910.3376
In this way, the mathematical tools that we've developed in quantum information can "pay rent" in classical CS, even if we counterfactually imagined that our world wasn't quantum-mechanical at all. It would take some time to go through an example of this, but (e.g.) it was shown that if a certain classical error-correcting code existed (called a 2-query locally decodable code of subexponential size), then an even better quantum error-correcting code would also exist, but the latter was something that people already knew how to rule out.
In these situations, some people would argue that we're not "really" using quantum physics or amplitudes; we're just taking MATH that was developed for that purpose, and repurposing it for something else. But it would be weird to say in a talk, "I'm now going to introduce a unit vector of complex numbers that's just an ordinary vector, nothing physical at all about it, then apply the following tensor product of 2x2 and 4x4 unitary matrices to it...," when everyone knows full well that all your intuition about this came from quantum states. Indeed, I confess that even when I'm doing linear algebra that has nothing to do with QM---i.e., my vectors really are just vectors of real or complex numbers, not amplitudes---I sometimes slip up and use the physicists' notation for quantum states (called the Dirac ket notation).
Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#224Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#225What do you think of the Copenhagen Interpretation especially in light of the delayed choice quantum eraser experiment[0]?
I know interpretation of QM is something actual working scientists try to avoid (I know I do such for my little corner of physics) but given how much interpretation informs intuition it's worth considering once in a while.
[0] https://en.wikipedia.org/wiki/Delayed_choice_quantum_eraser
Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#226Earlier quoted context omitted.
The brain is able to change well into adulthood ("neuroplasticity"), and that includes mathematical/scientific/abstraction centers. There are plenty of folks who didn't get a great start in STEM, but through hard work and dedication, they pushed through the inherent frustration in learning STEM. While some people might be born with a proclivity for these activities, I wouldn't say any individual could not get into sc…
Good uplifting answer. But it is for what can lead to a hobby, rather than a career. Even certificates from MOOCs won't lead to a job in science, researcher or not.
That depends on how tightly you define "science". If you mean "science in traditional academia, working for/at a major research university or research consortium" then you are almost certainly correct. But if you expand the definition to include the corporate world, and roles that maybe aren't pure research, then I would argue that you can get a job doing science with less "paper credentials" than one might expect.
Whether or not that would/could apply to anything related to QC, I'm not sure, as I don't work in (or even really near) the QC domain. But to pick one example: in terms of machine learning / AI, I've definitely seen it. But maybe AI/ML is an exception to everything else just because it is (at the present) such an empirical / observation / experiment based domain.
Outside of all of that is the notion of "create your own job". If you want to be a researcher in Field X, start a company related to Field X and hire yourself. And, no, I don't intend that to be a glib answer, and I certainly acknowledge that it A. isn't easy, and B. is probably harder / easier in some domains than in others.
Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#227Will the power of 2^72 complex numbers working for me cause gravitational collapse? Has anyone calculated holographic bound limitations on quantum computers?
There's a related comment here[1]. The simpler version of the bound doesn't depend on mass or energy, just surface area (or radius for a Schwarzschild black hole). It seems to me that 2^72 of "storage" is already pushing it, but anyway I don't understand why the number of bits needed to "describe" the state isn't the relevant quantity. IIRC Bekenstein had at least one completely classical derivation of the bound.
[1] https://www.scottaaronson.com/blog/?p=2428#comment-786973
Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#228Hi Scott There are non-quantum physical systems that exhibits positive and negative amplitudes and interference. Can I factor large numbers by throwing rocks in a lake and measuring the water height at the right place? Why not?
Not Scott, and this has nothing to do with interference, but it is possible to "calculate" certain things using physical phenomenon like water levels. It's basically a variation of "analog computing". https://en.wikipedia.org/wiki/Analog_computer An analog computer or analogue computer is a form of computer that uses the continuously changeable aspects of physical phenomena such as electrical, mechanical, or hydrauli…
Some other interesting references:
- The waterfall argument in paragraph 6 of the mind-boggling "Why Philosophers Should Care About Computational Complexity". https://www.scottaaronson.com/papers/philos.pdf
- "NP-complete Problems and Physical Reality" https://www.scottaaronson.com/papers/npcomplete.pdf
Re: I'm Scott Aaronson, quantum computing/computational complexity researcher. AMA
#229How far are we from "emergence" in terms of AI ecosystem ? Will quantum computing pave the way for it ?
Sorry, I don't know what "emergence" means in this context. If you mean AGI, I think (hope?) that we're still quite some ways away from it. Yes, quantum computing could help with AI -- for example through Grover's algorithm, which lets you solve many search, optimization, and planning problems in roughly the square root of the number of steps you would need classically. But it's a complicated story: many of the probl…
Is this a known known that our brain doesn't use QC?