Nothing
knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
Load libraries that will be used.
library(polynom) library(HomomorphicEncryption)
Set a working seed for random numbers (so that random numbers can be replicated exactly).
set.seed(123)
Set some parameters.
M <- 8 N <- M / 2 scale <- 4 xi <- complex(real = cos(2 * pi / M), imaginary = sin(2 * pi / M))
Create the (complex) numbers we will encode.
z <- c(complex(real=3, imaginary=4), complex(real=2, imaginary=-1)) print(z)
Now we encode the vector of complex numbers to a polynomial.
pi_z <- pi_inverse(z) scaled_pi_z <- scale * pi_z rounded_scale_pi_zi <- sigma_R_discretization(xi, M, scaled_pi_z) p <- sigma_inverse(xi, M, rounded_scale_pi_zi) coef <- as.vector(round(Re(p))) p <- polynomial(coef)
Let's view the result.
print(p)
Let's decode to obtain the original number:
rescaled_p <- coef(p) / scale z <- sigma_function(xi, M, rescaled_p) decoded_z <-pi_function(M, z) print(decoded_z)
The decoded z is indeed very close to the original z, we round the result to make the clearer.
round(decoded_z)
Next, work through the CKKS-encode-2 vignette, which breaks down the encode and decode functions into the individual steps.
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