To give a sense of the scale of this problem, the largest frontier simulations I’m aware of are around the trillion atom scale. (On tens of thousands of GPUs [0])
Based on a quick web search, a c elegans cell is between 3 microns and 30 microns in diameter, so if we assume we can count atoms using the density of water then an all-atom simulation of a single neuron would need between 5e11 to 5e14 atoms. c. Elegans has 302 neurons so simulating the full neural network will be 2-5 orders of magnitude larger than current frontier simulations. Honestly more doable than I thought it would be, though all-atom simulation of a full organism still seems quite out of reach
This is all with classical force fields. Doing this simulation at the electronic structure level is much much harder with our current modeling capabilities
0: https://www.mrs.org/meetings-events/annual-meetings/archive/...
it seems to me "the quantum computer you seek" is the molecule + the medium (especially the medium) itself
I don’t pretend to have any particularly deep insight into quantum algorithms for chemistry, but [0] is a really nice review. It seems like there are a lot of possibilities for simulating general molecular and materials systems on quantum computers. The holy grail would be solving the exact quantum mechanical wave equation in sub-exponential time and space complexity. I don’t know how feasible that is, but it seems like people are making progress using quantum algorithms to accelerate approximate quantum simulation [1].
Back to all-atom c. elegans: I think quantum computing is more about accurate and scalable electronic structure modeling, and simulating enormous systems like this will still require fitting classical (meaning electrons are implicit) force fields and running them at scale for the foreseeable future. A lot of this is space complexity - I’m not sure how a quantum computer could do atomic simulations with sublinear scaling of qubits in the number of atoms being simulated, and were in the very early days of scaling quantum computers up
yes. you nailed my point-that you will have to fit classical or quasi-classical fields, which is liable to require scads of qbits just to get close. qbits are just not "designed" to do that sort of thing.
in any case we ~solved protein folding heuristically and not using fields so i shouldn't be too pessimistic that it's impossible that quantum compute will help eventually.
I don't really understand what this means - you obviously know at the smallest level things happen by random probability - because you mention the quantum world - but then you say the universe is deterministic.
Not sure if any other wizard hat things than those can extend classical digital computing
Bringing up 'Quantum' effects to somehow free us from determinism and somehow introduce free will, is completely false. Somehow using the word "Quantum" explains human consciousness is wrong.
A coin flip is still determined. You don't know which way it will flip, but also, you aren't deciding which way it will flip. The future is determined either way, determined one way, or determined the other way.
We don't actually know this. It is just what we observe that fits our map so far.
neurons aren't binary. who knows if they're special in a way digital computers can't simulate -- they aren't well understood.
nobody said anything about determinism besides you
Most of the time someone brings up the word 'Digital' they are talking about 1's and 0's, and how everything is known and determined, and thus looses the ineffable human quality.
"they're special in a way digital computers can't simulate"
I might be making a straw man, but you are literally just saying "something magical that exists outside physics must be going on"
But it would be the case that the universe is non-computable, and if this is the case, even without "magic", you would not be able to reproduce certain kinds of things (even not conscious ones) with a computer.
I am nitpicking this: The state of computational chemistry is not at a level to support this. I'm optimistic we'll get there eventually; need to find novel approaches, and current ones are too imprecise, or too slow.
I think the connectome aspect is more interesting, as it may be feasible to get there 100% without a computational chem breakthrough.