Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Local tensor network for strongly correlated projective states   The success of tensor network approaches in simulating strongly correlated
quantum systems crucially depends on whether the many body states that are
relevant for the problem can be encoded in a local tensor network. Despite
numerous efforts, strongly correlated projective states, fractional quantum
Hall states in particular, have not yet found a local tensor network
representation. Here we show that one can encode the calculation of averages of
local operators in a Grassmann tensor network which is local. Our construction
is explicit, and allows the use of physically motivated trial wavefunctions as
starting points in tensor network variational calculations.

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The categories of this paper are: adap-org
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The categories of this paper are: quant-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: q-fin
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
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The categories of this paper are: solv-int
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The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: comp-gas
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The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
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The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
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The categories of this paper are: eess