Introduce variance

docs/src/api.md

@@ -87,6 +87,7 @@ eigsolve_al
 ```@docs
 ket2dm
 expect
+variance
 LinearAlgebra.kron
 sparse_to_dense
 dense_to_sparse

src/qobj/functions.jl

@@ -3,7 +3,7 @@
 =#
 
 export ket2dm
-export expect
+export expect, variance
 export sparse_to_dense, dense_to_sparse
 export vec2mat, mat2vec
 
@@ -19,12 +19,13 @@
 @doc raw"""
     expect(O::QuantumObject, ψ::QuantumObject)
 
-Expectation value of the operator `O` with the state `ψ`. The latter
-can be a [`KetQuantumObject`](@ref), [`BraQuantumObject`](@ref) or a [`OperatorQuantumObject`](@ref).
-If `ψ` is a density matrix, the function calculates ``\Tr \left[ \hat{O} \hat{\psi} \right]``, while if `ψ`
-is a state, the function calculates ``\mel{\psi}{\hat{O}}{\psi}``.
+Expectation value of the [`Operator`](@ref) `O` with the state `ψ`. The state can be a [`Ket`](@ref), [`Bra`](@ref) or [`Operator`](@ref).
 
-The function returns a real number if the operator is hermitian, and returns a complex number otherwise.
+If `ψ` is a [`Ket`](@ref) or [`Bra`](@ref), the function calculates ``\langle\psi|\hat{O}|\psi\rangle``.
+
+If `ψ` is a density matrix ([`Operator`](@ref)), the function calculates ``\textrm{Tr} \left[ \hat{O} \hat{\psi} \right]``
+
+The function returns a real number if `O` is hermitian, and returns a complex number otherwise.
 
 # Examples
 
@@ -60,6 +61,20 @@
     return ishermitian(O) ? real(tr(O * ρ)) : tr(O * ρ)
 end
 
+@doc raw"""
+    variance(O::QuantumObject, ψ::QuantumObject)
+
+Variance of the [`Operator`](@ref) `O`: ``\langle\hat{O}^2\rangle - \langle\hat{O}\rangle^2``,
+
+where ``\langle\hat{O}\rangle`` is the expectation value of `O` with the state `ψ` (see also [`expect`](@ref)), and the state `ψ` can be a [`Ket`](@ref), [`Bra`](@ref) or [`Operator`](@ref).
+
+The function returns a real number if `O` is hermitian, and returns a complex number otherwise.
+"""
+variance(
+    O::QuantumObject{<:AbstractArray{T1},OperatorQuantumObject},
+    ψ::QuantumObject{<:AbstractArray{T2}},
+) where {T1,T2} = expect(O^2, ψ) - expect(O, ψ)^2
+
 @doc raw"""
     sparse_to_dense(A::QuantumObject)
 

test/quantum_objects.jl

@@ -249,7 +249,7 @@
         @test opstring == "Quantum Object:   type=OperatorBra   dims=$ψ2_dims   size=$ψ2_size\n$datastring"
     end
 
-    @testset "Matrix Element" begin
+    @testset "matrix element" begin
         H = Qobj([1 2; 3 4])
         L = liouvillian(H)
         s0 = Qobj(basis(4, 0).data; type = OperatorKet)
@@ -321,10 +321,13 @@
     end
 
     @testset "expectation value" begin
+        # expect and variance
         N = 10
         a = destroy(N)
-        ψ = normalize(fock(N, 3) + 1im * fock(N, 4))
+        ψ = rand_ket(N)
         @test expect(a, ψ) ≈ expect(a, ψ')
+        @test variance(a, ψ) ≈ expect(a^2, ψ) - expect(a, ψ)^2
+
         ψ = fock(N, 3)
         @test norm(ψ' * a) ≈ 2
         @test expect(a' * a, ψ' * a) ≈ 16