[FRIAM] more fun with AI
Steven A Smith
sasmyth at swcp.com
Thu Feb 9 22:00:37 EST 2017
Very exciting... I'll have to read deeper into this... I think we are
on the verge of another punctuation in our equilibrium (of Sci/Tech
advances)...
On 2/9/17 3:20 PM, Roger Critchlow wrote:
> Okay, this one got published in Science today,
> https://arxiv.org/abs/1606.02318, they solve an n-body quantum wave
> function with artificial neural nets, they earned two separate
> commentary articles:
>
> The challenge posed by the many-body problem in quantum physics
> originates from the difficulty of describing the non-trivial
> correlations encoded in the exponential complexity of the
> many-body wave function. Here we demonstrate that systematic
> machine learning of the wave function can reduce this complexity
> to a tractable computational form, for some notable cases of
> physical interest. We introduce a variational representation of
> quantum states based on artificial neural networks with variable
> number of hidden neurons. A reinforcement-learning scheme is then
> demonstrated, capable of either finding the ground-state or
> describing the unitary time evolution of complex interacting
> quantum systems. We show that this approach achieves very high
> accuracy in the description of equilibrium and dynamical
> properties of prototypical interacting spins models in both one
> and two dimensions, thus offering a new powerful tool to solve the
> quantum many-body problem.
>
> This is getting sort of close to home, now, we're replacing cleverly
> contrived numerical methods for exotic quantum physics with generic
> machine learning algorithms.
>
> -- rec --
>
>
>
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