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Nielsen & Chuang · Chapter 8, Quantum noise and quantum operations · p. 379

Exercise 8.17 - The Pauli average of every Bloch matrix is half the identity

Averaging over the Pauli matrices gives the maximally mixed state.

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The Exercise

A qubit passes through a device that applies one of the four operations II, XX, YY and ZZ, the identity and the three Pauli matrices of (1), each with probability 1/41/4, and keeps no record of which. A state ρ\rho goes in, and the equal mixture of ρ\rho, XρXX\rho X, YρYY\rho Y and ZρZZ\rho Z comes out. The exercise is to show that the output is the maximally mixed state I/2I/2, whatever the input.

Pauli and Bloch Matrices

The three Pauli matrices are the complex 2×22\times 2 matrices X=(0110),Y=(0−ii0),Z=(100−1).X = \begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}, \qquad Y = \begin{pmatrix} 0 & -i \\ i & 0 \end{pmatrix}, \qquad Z = \begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix}.(1)

For a real vector r→=(r1,r2,r3)\vec r = (r_1, r_2, r_3) in three dimensions, r→⋅σ→\vec r \cdot \vec\sigma is the complex 2×22\times 2 matrix r→⋅σ→=r1X+r2Y+r3Z.\vec r \cdot \vec\sigma = r_1 X + r_2 Y + r_3 Z.(2)✦

The Bloch matrix ρr→\rho_{\vec r} of a real vector r→\vec r in three dimensions is ρr→=12(I+r→⋅σ→).\rho_{\vec r} = \frac{1}{2}\bigl(I + \vec r \cdot \vec\sigma\bigr).(3)✦ When |r→|≤1|\vec r| \le 1 it is a density matrix, the state of a qubit with Bloch vector r→\vec r, and every state of a qubit is one of these.

The Pauli Average

The Pauli average E(A)E(A) of a complex 2×22\times 2 matrix AA is the matrix E(A)=14(A+XAX+YAY+ZAZ).E(A) = \frac{1}{4}\bigl(A + XAX + YAY + ZAZ\bigr).(4)✦ On a density matrix ρ\rho, E(ρ)E(\rho) is the output of the device of the exercise.

The Claim

Theorem 1. Let r→\vec r be a real vector in three dimensions. The Pauli average of its Bloch matrix is half the identity: E(ρr→)=I2.E(\rho_{\vec r}) = \frac{I}{2}.(5)✦

For |r→|≤1|\vec r| \le 1 this is the exercise.

What Is Checked

The claim is stated over the Pauli average (4), built from the Pauli matrices (1), and over the Bloch matrix (3) of an arbitrary real vector r→\vec r, which uses the matrix r→⋅σ→\vec r \cdot \vec\sigma of (2).

About the Pauli average, the library proves that it fixes the identity and sends each Pauli matrix to zero: E(I)=I,E(I) = I,(6)✦ E(X)=0,E(X) = 0,(7)✦ E(Y)=0,E(Y) = 0,(8)✦ E(Z)=0.E(Z) = 0.(9)✦