notes / graduate quantum OCT 15, 2021 · 4 MIN READ

QM1 midterm, worked solutions

My worked solutions to the four problems on the first-year graduate quantum midterm at Columbia, fall 2021.

Exponential operators

Assume AA, BB and CC are square matrices of the same rank and obey the commutation relations [A,B]=C[A,B] = C and [C,A]=[C,B]=0[C,A] = [C,B] = 0. Given eA+B=eAeXeYe^{A+B} = e^A e^X e^Y, find XX and YY.

Solution. Recall the Baker-Campbell-Hausdorff relation,

eAeB=eA+B+12[A,B]+e^A e^B = e^{A+B+\frac{1}{2}[A,B]+\cdots}

where the higher terms are nested commutators. In the given question, AA and BB both commute with the commutator [A,B]=C[A,B] = C, so the BCH relation reduces to

eAeB=eA+B+12Ce^A e^B = e^{A+B+\frac{1}{2}C}

Now let A+B=ΔA+B = \Delta and 12C=Γ\frac{1}{2}C = \Gamma, so the exponent is Δ+Γ\Delta + \Gamma with [Δ,Γ]=0[\Delta,\Gamma] = 0. Applying BCH again in reverse, eΔ+Γ=eΔeΓe^{\Delta+\Gamma} = e^\Delta e^\Gamma, so

eAeB=eA+Be12C    eAeBe12C=eA+Be^A e^B = e^{A+B}\,e^{\frac{1}{2}C} \implies e^A e^B e^{-\frac{1}{2}C} = e^{A+B}

and we read off X=BX = B, Y=12CY = -\frac{1}{2}C.

Orthonormality

Given three degenerate eigenfunctions u1,u2,u3|u_1\rangle, |u_2\rangle, |u_3\rangle that are linearly independent but not necessarily orthogonal, find three linear combinations that are orthogonal to one another and normalized. Are the new combinations eigenfunctions, and if yes, are they still degenerate?

Solution. By the Gram-Schmidt process we construct three new orthogonal vectors. Writing uiui=ui2\langle u_i|u_i\rangle = \|u_i\|^2 and uiuj=Sij\langle u_i|u_j\rangle = S_{ij} for iji \neq j,

b1=u1b2=u2S12u12u1b3=u3S13u12u1b2u3b22b2\begin{gathered} |b_1\rangle = |u_1\rangle \\ |b_2\rangle = |u_2\rangle - \frac{S_{12}}{\|u_1\|^2}|u_1\rangle \\ |b_3\rangle = |u_3\rangle - \frac{S_{13}}{\|u_1\|^2}|u_1\rangle - \frac{\langle b_2|u_3\rangle}{\|b_2\|^2}|b_2\rangle \end{gathered}

and each is normalized by dividing by its norm, bi=bi/bi|b_i'\rangle = |b_i\rangle / \|b_i\|. The new combinations are still eigenfunctions, since any linear combination of degenerate eigenfunctions is an eigenfunction with the same eigenvalue, and for that reason they are still degenerate.

The limit as ℏ goes to zero

Given operators A(x^,p^)A(\hat{x},\hat{p}) and B(x^,p^)B(\hat{x},\hat{p}) expressible as power series in xx and pp, evaluate and simplify

lim01i[A,B]\lim_{\hbar\to 0}\frac{1}{i\hbar}[A,B]

Solution. Suppose our operators are of the form A=mnamnxmpnA = \sum_{mn} a_{mn}\,x^m p^n and B=αβaαβxαpβB = \sum_{\alpha\beta} a_{\alpha\beta}\,x^\alpha p^\beta. For a commutator of the general form [AB,CD][AB, CD] we can expand

[AB,CD]=A[B,C]D+C[A,D]B+[A,C]BD+CA[B,D][AB,CD] = A[B,C]D + C[A,D]B + [A,C]BD + CA[B,D]

which reduces the problem to the elementary commutator [xm,pβ][x^m, p^\beta]. Peeling off one power of xx at a time,

[xm,pβ]=βik=0m1xkpβ1xmk1[x^m, p^\beta] = \beta\, i\hbar \sum_{k=0}^{m-1} x^k p^{\beta-1} x^{m-k-1}

After dividing by ii\hbar, every term left inside the double sum still contains reordered products of xx and pp. Reordering any of them costs a further commutator proportional to \hbar, and since we eventually take 0\hbar \to 0, those corrections vanish. In the limit we are free to move xx and pp past each other as if they commute, and the kk-sums simply count mm and nn factors. Recognizing

mnamnmxm1pn=Ax\sum_{mn} a_{mn}\, m\, x^{m-1}p^n = \frac{\partial A}{\partial x}

we obtain

lim01i[A,B]=AxBpBxAp\lim_{\hbar\to 0}\frac{1}{i\hbar}[A,B] = \frac{\partial A}{\partial x}\frac{\partial B}{\partial p} - \frac{\partial B}{\partial x}\frac{\partial A}{\partial p}

which is the classical Poisson bracket.

Density matrices

Suppose we have a beam of photons whose polarization state is unknown to us. It might be pure or mixed, and we would like to perform measurements that determine the state.

(a) For a pure state, prepare two sets of the same beam. Let the beam direction be the zz axis and pass the copies through two separate polarizers oriented along xx and yy. The ratio of the two measured intensities, if both are nonzero, yields the tangent of the polarization angle with respect to the xx axis. If the xx polarizer yields zero intensity the light is yy polarized and vice versa, and if the two intensities are equal the light is polarized at π/4\pi/4 from the xx axis. The minimum number of measurements is thus 2. If the beam is in a mixed state, the “mixed nature” cannot be determined experimentally, elaborated in (b).

(b) An unpolarized beam is a mixed state with equal probabilities on ψiψi|\psi_i\rangle\langle\psi_i|. In the Cartesian basis the density matrix is

M=12(1000)+12(0001)=12(1001)M = \frac{1}{2}\begin{pmatrix}1&0\\0&0\end{pmatrix} + \frac{1}{2}\begin{pmatrix}0&0\\0&1\end{pmatrix} = \frac{1}{2}\begin{pmatrix}1&0\\0&1\end{pmatrix}

There is, however, no measurement that guarantees the light is unpolarized. For a pure state c1ψ1+c2ψ2c_1|\psi_1\rangle + c_2|\psi_2\rangle the interference terms mixing c1c_1 and c2c_2 average out over the total phase, so if c12=c22=1/2|c_1|^2 = |c_2|^2 = 1/2 the measured distribution is identical to that of unpolarized light, and the two cannot be distinguished.

(c) For a mixed state of 50% light polarized along x^\hat{x} and 50% right circularly polarized, take x=(1 0)|x\rangle = (1\ 0)^\dagger, y=(0 1)|y\rangle = (0\ 1)^\dagger, and R=12(1 i)|R\rangle = \frac{1}{\sqrt{2}}(1\ {-i})^\dagger. The density matrix is

M=12xx+12RR=14(3ii1)M = \frac{1}{2}|x\rangle\langle x| + \frac{1}{2}|R\rangle\langle R| = \frac{1}{4}\begin{pmatrix}3 & -i\\ i & 1\end{pmatrix}

To find two orthogonal states giving the same density matrix, diagonalize MM. The eigenvectors

v1=(i(1+2)1),v2=(i(1+2)1)\underline{v}_1 = \begin{pmatrix}-i(1+\sqrt{2})\\ 1\end{pmatrix}, \qquad \underline{v}_2 = \begin{pmatrix}i(-1+\sqrt{2})\\ 1\end{pmatrix}

are orthogonal (their inner product vanishes). Building M=f1v1v1+f2v2v2M' = f_1\,\underline{v}_1\underline{v}_1^\dagger + f_2\,\underline{v}_2\underline{v}_2^\dagger and matching the element M22=1/4M_{22} = 1/4 admits f1=f2=1/8f_1 = f_2 = 1/8, which indeed recovers MM. Since probabilities must sum to 1, we instead take f1=f2=1/2f_1 = f_2 = 1/2 and rescale the vectors by 1/21/2, so that

v1=12(i(1+2)1),v2=12(i(1+2)1)\underline{v}_1 = \frac{1}{2}\begin{pmatrix}-i(1+\sqrt{2})\\ 1\end{pmatrix}, \qquad \underline{v}_2 = \frac{1}{2}\begin{pmatrix}i(-1+\sqrt{2})\\ 1\end{pmatrix}

are two orthogonal states that give the same density matrix, each with probability 1/21/2.

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