Belief Propagation #17
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mtfishman
reviewed
Nov 4, 2022
|
Thanks @JoeyT1994. It looks like there is something funny going on with the formatting. Could you format your code by running: julia> using JuliaFormatter
julia> format(".")in the directory |
mtfishman
reviewed
Nov 4, 2022
mtfishman
reviewed
Nov 4, 2022
mtfishman
reviewed
Nov 4, 2022
mtfishman
reviewed
Nov 4, 2022
…TensorNetworks.jl
…aph to contrain all the relevant information. All relevant code updated.
JoeyT1994
commented
Nov 7, 2022
JoeyT1994
commented
Nov 7, 2022
mtfishman
reviewed
Nov 15, 2022
mtfishman
reviewed
Nov 15, 2022
mtfishman
reviewed
Nov 15, 2022
mtfishman
reviewed
Nov 15, 2022
mtfishman
reviewed
Nov 15, 2022
mtfishman
reviewed
Nov 15, 2022
mtfishman
reviewed
Nov 15, 2022
|
@JoeyT1994 I'll merge this and then fix issues caused by #22. After I do that, it would be good to add some tests for these functions in a follow up PR. |
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Added functions for belief propagation
Added functions for creating special initial states (partition function of classical models)
Added extra capability for flattened networks (combining and uncombining their indices)
Added functions for forming subgraphs
Added a few extra utility functions
Added Boundary MPS contractor
Added belief propagation example