Error when using DQCType.

[HuynhTran0301]

I tried to solve the example of the package as follows:

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.ChebyshevTower(2), fm = chain(6, [put(i=>Ry(0)) for i in 1:6]), cost = [Add([put(6, i=>Z) for i in 1:6])], var = dispatch(EasyBuild.variational_circuit(6,5), :random), N = 6)]
config = DQCConfig(abh = QuantumNLDiffEq.Floating(), loss = loss_func)
M = range(start=0; stop=0.9, length=21)
evalue(M) = [QuantumNLDiffEq.calculate_evalue(DQC[1], DQC[1].cost, prob.u0[1], config.abh, params[1], M[x], M[1]) for x in 1:length(M)]
params = [Yao.parameters(DQC[1].var)]

#Training the circuit
QuantumNLDiffEq.train!(DQC, prob, config, M, params, steps = 1000)

I got the error as follows:

MethodError: no method matching +(::NamedTuple{(:afm, :fm, :cost, :var, :N, :evol), Tuple{NamedTuple{(:pc,), Tuple{Float64}}, Vararg{Nothing, 5}}}, ::Base.RefValue{Any})

Closest candidates are:
  +(::Any, ::Any, ::Basic, ::Any...)
   @ SymEngine C:\Users\htran\.julia\packages\SymEngine\hozAR\src\mathops.jl:51
  +(::Any, ::Any, ::Any, ::Any...)
   @ Base operators.jl:578
  +(::Union{InitialValues.NonspecificInitialValue, InitialValues.SpecificInitialValue{typeof(+)}}, ::Any)
   @ InitialValues C:\Users\htran\.julia\packages\InitialValues\OWP8V\src\InitialValues.jl:154
  ...

This error happened even though I tried with Julia 1.8, 1.9, or 1.10 for ChebyshevTower and ChebyshevSparse and did not happen for Product
Please help me on how to fix it.

[VarLad]

@HuynhTran0301 Ah, sorry for the long wait. I was unaware of the issues opened.
I'll take a deeper look at both this and your other issue tomorrow. Feel free to ping me for any issues or questions regarding this repo henceforth.