Electron Spin — Question 6

Section 40-2 · Physics pages 6602–6603

Question 6 A mixed spin ensemble can share z statistics with a pure state Compare the pure state | + x⟩= (| + z⟩+ | −z⟩)/ √ 2 with an incoherent ensemble containing equal numbers of | + z⟩and | −z⟩. Use the z basis. ρp ρm Schematic; labels, not drawing lengths, specify the data. (a) Write both density matrices and their purities Tr(ρ2). (b) Find the positive-x probability for each preparation.
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Question 6 - Solution A mixed spin ensemble can share z statistics with a pure state ρp ρm (a) Method and calculation ρp = 1 2 ( 1 1 1 1 ) , ρm = 1 2 ( 1 0 0 1 ) . Tr(ρ2 p) = 1, Tr(ρ2 m) = 1/2 . (b) Interpretation and further calculation Pp(+x) = ⟨+x|ρp| + x⟩= 1 . Pm(+x) = ⟨+x|I/2| + x⟩= 1/2 . Physical check Both preparations give equal z probabilities. Their off-diagonal coherences differ, and an x measurement distinguishes them statistically.

Question 6

A mixed spin ensemble can share z statistics with a pure state

Compare the pure state |+x⟩=(|+z⟩+|−z⟩)/2|+x\rangle=(|+z\rangle+|-z\rangle)/\sqrt2 with an incoherent ensemble containing equal numbers of |+z⟩|+z\rangle and |−z⟩|-z\rangle. Use the z basis.

Diagram shown in the original SVG worksheet.

  1. Write both density matrices and their purities Tr(ρ2)\mathrm{Tr}(\rho^2).

  2. Find the positive-x probability for each preparation.

Question 6 - Solution

A mixed spin ensemble can share z statistics with a pure state

Diagram shown in the original SVG worksheet.

(a) Method and calculation

ρp=12(1111),ρm=12(1001).\rho_p=\tfrac12\begin{pmatrix}1&1\\1&1\end{pmatrix},\quad\rho_m=\tfrac12\begin{pmatrix}1&0\\0&1\end{pmatrix}.Tr(ρp2)=1,Tr(ρm2)=1/2.\boxed{\mathrm{Tr}(\rho_p^2)=1,\quad\mathrm{Tr}(\rho_m^2)=1/2}.

(b) Interpretation and further calculation

Pp(+x)=⟨+x|ρp|+x⟩=1.P_p(+x)=\langle+x|\rho_p|+x\rangle=\boxed{1}.Pm(+x)=⟨+x|I/2|+x⟩=1/2.P_m(+x)=\langle+x|I/2|+x\rangle=\boxed{1/2}.

Physical check

Both preparations give equal z probabilities. Their off-diagonal coherences differ, and an x measurement distinguishes them statistically.