Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381730100> ?p ?o ?g. }
- W4381730100 abstract "Direct sampling from a Slater determinant is combined with an autoregressive deep neural network as a Jastrow factor into a fully autoregressive Slater-Jastrow ansatz for variational quantum Monte Carlo, which allows for uncorrelated sampling. The elimination of the autocorrelation time leads to a stochastic algorithm with provable cubic scaling (with a potentially large prefactor), i.e. the number of operations for producing an uncorrelated sample and for calculating the local energy scales like mathcal{O}(N_s^3) <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline><mml:mrow><mml:mi>𝒪</mml:mi><mml:mrow><mml:mo stretchy=true form=prefix>(</mml:mo><mml:msubsup><mml:mi>N</mml:mi><mml:mi>s</mml:mi><mml:mn>3</mml:mn></mml:msubsup><mml:mo stretchy=true form=postfix>)</mml:mo></mml:mrow></mml:mrow></mml:math> with the number of orbitals N_s <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline><mml:msub><mml:mi>N</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:math> . The implementation is benchmarked on the two-dimensional t-V <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline><mml:mrow><mml:mi>t</mml:mi><mml:mo>−</mml:mo><mml:mi>V</mml:mi></mml:mrow></mml:math> model of spinless fermions on the square lattice." @default.
- W4381730100 created "2023-06-24" @default.
- W4381730100 creator A5013656851 @default.
- W4381730100 creator A5024211180 @default.
- W4381730100 creator A5073216396 @default.
- W4381730100 date "2023-06-27" @default.
- W4381730100 modified "2023-10-17" @default.
- W4381730100 title "Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation" @default.
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- W4381730100 doi "https://doi.org/10.21468/scipostphys.14.6.171" @default.
- W4381730100 hasPublicationYear "2023" @default.
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