[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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