Removed SafeTestsets

Project.toml

@@ -27,13 +27,11 @@ LinearMaps = "3"
 LinearSolve = "2"
 OrdinaryDiffEq = "6.30"
 Reexport = "1"
-SafeTestsets = "0.1"
 SpecialFunctions = "2.2"
 julia = "1.7"
 
 [extras]
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
-SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
 
 [targets]
-test = ["Test", "SafeTestsets"]
+test = ["Test"]

test/correlations_and_spectrum.jl

@@ -1,18 +1,18 @@
-using QuantumToolbox
+@testset "Correlations and Spectrum" begin
+    a = destroy(10)
+    H = a' * a
+    c_ops = [sqrt(0.1 * (0.01 + 1)) * a, sqrt(0.1 * (0.01)) * a']
 
-a = destroy(10)
-H = a' * a
-c_ops = [sqrt(0.1 * (0.01 + 1)) * a, sqrt(0.1 * (0.01)) * a']
+    ω_l = range(0, 3, length=1000)
+    ω_l1, spec1 = spectrum(H, ω_l, a', a, c_ops, solver=FFTCorrelation(), progress_bar=false)
+    ω_l2, spec2 = spectrum(H, ω_l, a', a, c_ops)
+    spec1 = spec1 ./ maximum(spec1)
+    spec2 = spec2 ./ maximum(spec2)
 
-ω_l = range(0, 3, length=1000)
-ω_l1, spec1 = spectrum(H, ω_l, a', a, c_ops, solver=FFTCorrelation(), progress=false)
-ω_l2, spec2 = spectrum(H, ω_l, a', a, c_ops)
-spec1 = spec1 ./ maximum(spec1)
-spec2 = spec2 ./ maximum(spec2)
-
-test_func1 = maximum(real.(spec1)) * (0.1/2)^2 ./ ((ω_l1 .- 1).^2 .+ (0.1/2)^2)
-test_func2 = maximum(real.(spec2)) * (0.1/2)^2 ./ ((ω_l2 .- 1).^2 .+ (0.1/2)^2)
-idxs1 = test_func1 .> 0.05
-idxs2 = test_func2 .> 0.05
-@test sum(abs2.(spec1[idxs1] .- test_func1[idxs1])) / sum(abs2.(test_func1[idxs1])) < 0.01
-@test sum(abs2.(spec2[idxs2] .- test_func2[idxs2])) / sum(abs2.(test_func2[idxs2])) < 0.01
+    test_func1 = maximum(real.(spec1)) * (0.1/2)^2 ./ ((ω_l1 .- 1).^2 .+ (0.1/2)^2)
+    test_func2 = maximum(real.(spec2)) * (0.1/2)^2 ./ ((ω_l2 .- 1).^2 .+ (0.1/2)^2)
+    idxs1 = test_func1 .> 0.05
+    idxs2 = test_func2 .> 0.05
+    @test sum(abs2.(spec1[idxs1] .- test_func1[idxs1])) / sum(abs2.(test_func1[idxs1])) < 0.01
+    @test sum(abs2.(spec2[idxs2] .- test_func2[idxs2])) / sum(abs2.(test_func2[idxs2])) < 0.01
+end

test/dynamical-shifted-fock.jl

@@ -1,98 +1,98 @@
-using QuantumToolbox
+@testset "Dynamical Shifted Fock" begin
+    F   = 3
+    Δ   = 0.25
+    κ   = 1
+    U = 0.01
 
-F   = 3
-Δ   = 0.25
-κ   = 1
-U = 0.01
+    tlist = LinRange(0,25,300)
 
-tlist = LinRange(0,25,300)
+    # Single cavity case
+    N0     = 100
+    a0     = destroy(N0)
+    H0     = Δ*a0'*a0 + F*(a0+a0') + U * a0'^2 * a0^2
+    c_ops0 = [√(κ)*a0]
 
-# Single cavity case
-N0     = 100
-a0     = destroy(N0)
-H0     = Δ*a0'*a0 + F*(a0+a0') + U * a0'^2 * a0^2
-c_ops0 = [√(κ)*a0]
+    α0 = 1.5
+    ρ0   = coherent(N0, α0)
+    sol0 = mesolve(H0, ρ0, tlist, c_ops0, e_ops=[a0'*a0, a0], progress_bar=false)
 
-α0 = 1.5
-ρ0   = coherent(N0, α0)
-sol0 = mesolve(H0, ρ0, tlist, c_ops0, e_ops=[a0'*a0, a0], progress=false)
-
-N = 5
-a = destroy(N)
-function H_dsf(op_list, p)
+    N = 5
+    a = destroy(N)
+    function H_dsf(op_list, p)
     Δ = p.Δ
     F = p.F
     U = p.U
     a = op_list[1]
     Δ*a'*a + F*(a + a') + U * a'^2 * a^2
-end
-function c_ops_dsf(op_list, p)
+    end
+    function c_ops_dsf(op_list, p)
     κ = p.κ
     a = op_list[1]
     [√κ * a]
-end
-function e_ops_dsf(op_list, p)
+    end
+    function e_ops_dsf(op_list, p)
     a = op_list[1]
     [a' * a, a]
-end
-op_list = [a]
-ψ0  = fock(N, 0)
-α0_l = [α0]
-dsf_params = (Δ=Δ, F=F, κ=κ, U=U)
+    end
+    op_list = [a]
+    ψ0  = fock(N, 0)
+    α0_l = [α0]
+    dsf_params = (Δ=Δ, F=F, κ=κ, U=U)
 
-sol_dsf_me = dsf_mesolve(H_dsf, ψ0, tlist, c_ops_dsf, op_list, α0_l, dsf_params, e_ops=e_ops_dsf, progress=false)
-sol_dsf_mc = dsf_mcsolve(H_dsf, ψ0, tlist, c_ops_dsf, op_list, α0_l, dsf_params, e_ops=e_ops_dsf, progress=false, n_traj=500)
-val_ss = abs2(sol0.expect[1,end])
-@test sum(abs2.(sol0.expect[1,:] .- sol_dsf_me.expect[1,:])) / (val_ss * length(tlist)) < 0.1
-@test sum(abs2.(sol0.expect[1,:] .- sol_dsf_mc.expect[1,:])) / (val_ss * length(tlist)) < 0.1
+    sol_dsf_me = dsf_mesolve(H_dsf, ψ0, tlist, c_ops_dsf, op_list, α0_l, dsf_params, e_ops=e_ops_dsf, progress_bar=false)
+    sol_dsf_mc = dsf_mcsolve(H_dsf, ψ0, tlist, c_ops_dsf, op_list, α0_l, dsf_params, e_ops=e_ops_dsf, progress_bar=false, n_traj=500)
+    val_ss = abs2(sol0.expect[1,end])
+    @test sum(abs2.(sol0.expect[1,:] .- sol_dsf_me.expect[1,:])) / (val_ss * length(tlist)) < 0.1
+    @test sum(abs2.(sol0.expect[1,:] .- sol_dsf_mc.expect[1,:])) / (val_ss * length(tlist)) < 0.1
 
-# Two cavities case
-F   = 2
-Δ   = 0.25
-κ   = 1
-U = 0.01
-J = 0.5
-tlist = LinRange(0,15,300)
+    # Two cavities case
+    F   = 2
+    Δ   = 0.25
+    κ   = 1
+    U = 0.01
+    J = 0.5
+    tlist = LinRange(0,15,300)
 
-N0     = 20
-a10    = kron(destroy(N0), qeye(N0))
-a20    = kron(qeye(N0), destroy(N0))
-H0     = Δ*a10'*a10 + Δ*a20'*a20 + U*a10'^2*a10^2 + U*a20'^2*a20^2 + F*(a10+a10') + J*(a10'*a20 + a10*a20')
-c_ops0 = [√κ*a10, √κ*a20]
+    N0     = 20
+    a10    = kron(destroy(N0), qeye(N0))
+    a20    = kron(qeye(N0), destroy(N0))
+    H0     = Δ*a10'*a10 + Δ*a20'*a20 + U*a10'^2*a10^2 + U*a20'^2*a20^2 + F*(a10+a10') + J*(a10'*a20 + a10*a20')
+    c_ops0 = [√κ*a10, √κ*a20]
 
-ρ0   = kron(coherent(N0, α0), coherent(N0, α0))
-sol0 = mesolve(H0, ρ0, tlist, c_ops0, e_ops=[a10'*a10, a20'*a20], progress=false)
+    ρ0   = kron(coherent(N0, α0), coherent(N0, α0))
+    sol0 = mesolve(H0, ρ0, tlist, c_ops0, e_ops=[a10'*a10, a20'*a20], progress_bar=false)
 
-N  = 5
-a1 = kron(destroy(N), qeye(N))
-a2 = kron(qeye(N), destroy(N))
-function H_dsf2(op_list, p)
+    N  = 5
+    a1 = kron(destroy(N), qeye(N))
+    a2 = kron(qeye(N), destroy(N))
+    function H_dsf2(op_list, p)
     Δ = p.Δ
     F = p.F
     U = p.U
     J = p.J
     a1, a2 = op_list
     Δ*a1'*a1 + Δ*a2'*a2 + U*a1'^2*a1^2 + U*a2'^2*a2^2 + F*(a1 + a1') + J*(a1'*a2 + a1*a2')
-end
-function c_ops_dsf2(op_list, p)
+    end
+    function c_ops_dsf2(op_list, p)
     κ = p.κ
     a1, a2 = op_list
     [√κ * a1, √κ * a2]
-end
-function e_ops_dsf2(op_list, p)
+    end
+    function e_ops_dsf2(op_list, p)
     a1, a2 = op_list
     [a1' * a1, a2' * a2]
-end
-op_list = [a1, a2]
-ψ0  = kron(fock(N, 0), fock(N, 0))
-α0_l = [α0, α0]
-dsf_params = (Δ=Δ, F=F, κ=κ, U=U, J=J)
+    end
+    op_list = [a1, a2]
+    ψ0  = kron(fock(N, 0), fock(N, 0))
+    α0_l = [α0, α0]
+    dsf_params = (Δ=Δ, F=F, κ=κ, U=U, J=J)
 
-sol_dsf_me = dsf_mesolve(H_dsf2, ψ0, tlist, c_ops_dsf2, op_list, α0_l, dsf_params, e_ops=e_ops_dsf2, progress=false)
-sol_dsf_mc = dsf_mcsolve(H_dsf2, ψ0, tlist, c_ops_dsf2, op_list, α0_l, dsf_params, e_ops=e_ops_dsf2, progress=false, n_traj=500)
+    sol_dsf_me = dsf_mesolve(H_dsf2, ψ0, tlist, c_ops_dsf2, op_list, α0_l, dsf_params, e_ops=e_ops_dsf2, progress_bar=false)
+    sol_dsf_mc = dsf_mcsolve(H_dsf2, ψ0, tlist, c_ops_dsf2, op_list, α0_l, dsf_params, e_ops=e_ops_dsf2, progress_bar=false, n_traj=500)
 
-val_ss = abs2(sol0.expect[1,end])
-@test sum(abs2.(sol0.expect[1,:] .- sol_dsf_me.expect[1,:])) / (val_ss * length(tlist)) < 0.6
-@test sum(abs2.(sol0.expect[1,:] .- sol_dsf_mc.expect[1,:])) / (val_ss * length(tlist)) < 0.6
-@test sum(abs2.(sol0.expect[2,:] .- sol_dsf_me.expect[2,:])) / (val_ss * length(tlist)) < 0.6
-@test sum(abs2.(sol0.expect[2,:] .- sol_dsf_mc.expect[2,:])) / (val_ss * length(tlist)) < 0.6
+    val_ss = abs2(sol0.expect[1,end])
+    @test sum(abs2.(sol0.expect[1,:] .- sol_dsf_me.expect[1,:])) / (val_ss * length(tlist)) < 0.6
+    @test sum(abs2.(sol0.expect[1,:] .- sol_dsf_mc.expect[1,:])) / (val_ss * length(tlist)) < 0.6
+    @test sum(abs2.(sol0.expect[2,:] .- sol_dsf_me.expect[2,:])) / (val_ss * length(tlist)) < 0.6
+    @test sum(abs2.(sol0.expect[2,:] .- sol_dsf_mc.expect[2,:])) / (val_ss * length(tlist)) < 0.6
+end