Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spacetime Neural Network for High Dimensional Quantum Dynamics   We develop a spacetime neural network method with second order optimization
for solving quantum dynamics from the high dimensional Schr\"{o}dinger
equation. In contrast to the standard iterative first order optimization and
the time-dependent variational principle, our approach utilizes the implicit
mid-point method and generates the solution for all spatial and temporal values
simultaneously after optimization. We demonstrate the method in the
Schr\"{o}dinger equation with a self-normalized autoregressive spacetime neural
network construction. Future explorations for solving different high
dimensional differential equations are discussed.

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The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
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The categories of this paper are: acc-phys
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The categories of this paper are: solv-int
30
The categories of this paper are: q-alg