0
$\begingroup$

Neilson and Chuang's textbook shows a nice example of measuring in the $Z$ basis on page 89 in section 2.2.5. The Hermitians for measuring in the $Z$ basis, $|0\rangle\langle 0|$ and $|1\rangle\langle 1|$, satisfy the definition of being a projective measurement. However, if we measure in the $X$ basis (i.e. using the $X$ Pauli operator), by the same logic we get the Hermitians $|+\rangle\langle +|$ and $|-\rangle\langle -|$ which do not satisfy one of the properties of projectors. As in, $|+\rangle\langle +| \neq (|+\rangle\langle +|)^2$. In the textbook, it says the Hermitians $P_m$ making up the projective measurement operator $M$ must be projectors, but in the $X$ basis they are not projectors.

Am I doing something wrong here?...

EDIT: I was wrong with my calculations!!!

$|+\rangle = \begin{bmatrix} \frac{1}{\sqrt{2}}\\ \frac{1}{\sqrt{2}} \end{bmatrix}$

$|+\rangle\langle +| = \begin{bmatrix} \frac{1}{2} & \frac{1}{2}\\ \frac{1}{2} & \frac{1}{2} \end{bmatrix}$

$(|+\rangle\langle +|)^2 = \begin{bmatrix} \frac{1}{2} & \frac{1}{2}\\ \frac{1}{2} & \frac{1}{2} \end{bmatrix}$

$\endgroup$
5
  • 2
    $\begingroup$ why do you say $|+\rangle\!\langle+|\neq(|+\rangle\!\langle+|)^2$? $\endgroup$
    – glS
    Commented Jul 5, 2021 at 23:02
  • $\begingroup$ it is a property of projectors that $P = P^2$. Seen in exercise 2.16 of Neilson and Chuang: "Show that any projector $P$ satisfies the equation $P^2$ = $P$." $\endgroup$ Commented Jul 5, 2021 at 23:08
  • 2
    $\begingroup$ yes. I'm asking why you think that particular inequality is true. What calculation did you make? $\endgroup$
    – glS
    Commented Jul 5, 2021 at 23:08
  • $\begingroup$ oh boy... must be my monday-brain... $\endgroup$ Commented Jul 5, 2021 at 23:14
  • $\begingroup$ so I guess the Pauli matrices are projective measurements then? $\endgroup$ Commented Jul 5, 2021 at 23:15

1 Answer 1

3
$\begingroup$
  1. Given any unit vector, $v\equiv |v\rangle\in\mathcal X$ for some finite-dimensional complex vector space $\mathcal X$, the operator $vv^\dagger\equiv|v\rangle\!\langle v|$ defined by $$|v\rangle\!\langle v|\equiv v v^\dagger\in \operatorname{Lin}(\mathcal X), \\ (vv^\dagger)(w)\equiv (|v\rangle\!\langle v|)(|w\rangle) \equiv v \langle v,w\rangle,$$ is a rank-one projection. This means, in particular, that $(vv^\dagger)^2=vv^\dagger$. I'm including here both the bra-ket and the more standard linear algebraic way to denote these objects, for better clarity.

  2. Given any normal matrix (and thus in particular any Hermitian matrix) $A\in\mathrm{Lin}(\mathcal X)$, there is an orthonormal set of eigenvectors of $A$ that is a basis for $\mathcal X$.

  3. Given any orthonormal basis of vectors $v_k$ for a finite-dimensional vector space $\mathcal X$, the corresponding projections $v_k v_k^\dagger$ sum to the identity (and thus form a projective measurement).

So, for example, taking $A=X$, taking any orthonormal basis of eigenvecors of $X$, such as $|\pm\rangle$, the corresponding ket-bras $|\pm\rangle\!\langle\pm|$ are rank-one projections, and sum to the identity for the corresponding two-dimensional space.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.