DWave.jl

D-Wave Quantum Annealing Interface for JuMP

julia> import Pkg

julia> Pkg.add("DWave.jl")

using JuMP
using QUBO
using DWave

model = Model(DWave.Neal.Optimizer)

h = [-1, -1, -1]
J = [0 2 2; 0 0 2; 0 0 0]

@variable(model, s[1:3], Spin)

@objective(model, Min, h's + s'J * s)

optimize!(model)

for i = 1:result_count(model)
    si = value.(s; result=i)
    yi = objective_value(model; result=i)

    println("H($si) = $yi")
end

To use D-Wave's QPU it is necessary to obtain an API Token from Leap.

Disclaimer: The D-Wave wrapper for Julia is not officially supported by D-Wave Systems. If you are a commercial customer interested in official support for Julia from D-Wave, let them know!

Note: If you are using DWave.jl in your project, we recommend you to include the .CondaPkg entry in your .gitignore file. The PythonCall module will place a lot of files in this folder when building its Python environment.