SciML/QuantumNLDiffEq.jl

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QuantumNLDiffEq.jl Installation ]add https://github.com/SciML/QuantumNLDiffEq.jl Usage using DifferentialEquations, Yao, QuantumNLDiffEq # Making the ODEProblem function f(u, p, t) λ, κ = p return -1*λ*u*(κ + tan(λ*t)) end prob = ODEProblem(f, [1.0], (0.0, 0.9), [8.0, 0.1]) function loss_func(a, b) return (a - b)^2 end #Making the DQC DQC = [QuantumNLDiffEq.DQCType(afm = QuantumNLDiffEq.ChebyshevSparse(2), fm = chain(6, [put(i=>Ry(0)) for i in 1:6]), cost = [Add([put(6, i=>Z) for i in 1:6])],...