Adjoint
An adjoint is basically a Conjugate transpose but for an operator
(whereas a conjugate transpose can only be applied to a matrix)
Given operator A^, it’s adjoint is the operator A^+
such that ∀∣i⟩,∣j⟩
⟨i∣A^+∣j⟩=(⟨j∣A^∣i⟩)∗(A^+)ij=A^ji∗
Where, for any operator O^, a matrix Element
⟨i∣O^∣j⟩ is just the (i,j)-th element of the matrix
representing O^ in basis {∣i⟩}
Note that ∣i⟩ and ∣j⟩ are arbitrary Basis State
where A∗ is the complex conjugation of A
properties:
(A^+)+=A^(A^+B^)+=A^++B^+(A^B^)+=B^+A^+
Example:
Consider operator
A^=∣1⟩⟨2∣+2i∣2⟩⟨1∣+3∣2⟩⟨2∣⇒adjoint of A^=∣2⟩⟨1∣−2i∣1⟩⟨2∣+3∣2⟩⟨2∣
So w.r.t. to basis {∣1⟩,∣2⟩}, A^ is
A^=(02i13)
The conjugate transpose of A^=A^+ which is
A^+=(01−2i3)
Which, once we pick an orthonormal basis, the matrix of A^+
equals the conjugate transpose of the matrix of A^
A^+=adjoint of A^