PSet 5 Discussion
Problem 5-1: Generalized Rabi oscillations¶
(a)¶
Start from the lab-frame Schrödinger equation
with
Define the rotating-frame unitary and state by
workout
Differentiate \(\ket{\psi_{\rm rot}}\):
Multiply by \(i\) and use \(i\frac{d}{dt}\ket{\psi}=\hat H\ket{\psi}\):
Rewrite everything in terms of \(\ket{\psi_{\rm rot}}\) using \(\ket{\psi}=\hat U\ket{\psi_{\rm rot}}\):
This has the standard rotating-frame form
Now evaluate the extra term \(-i\hat U^\dagger \dot{\hat U}\). Since
we have \(\hat U^\dagger \dot{\hat U}=-i\omega \hat S_z\), hence
So
Next compute \(\hat U^\dagger \hat H(t)\hat U\). The \(\hat S_z\) term is unchanged because \([\hat S_z,\hat U]=0\):
For the ladder operators, use \([\hat S_z,\hat S_\pm]=\pm \hat S_\pm\), which implies the standard identity
workout
With \(\theta=\omega t\) and \(\hat U^\dagger=e^{i\omega t \hat S_z}\), this gives
Therefore the time-dependent phases in the drive cancel:
Putting everything together,
This is time-independent. Defining the detuning \(\delta\equiv \omega_0-\omega\),
Now write \(\hat H_{\rm rot}\) as a \(3\times 3\) matrix in the ordered basis \(\{\ket{+1},\ket{0},\ket{-1}\}\) using the provided representations:
workout
Hence
(b)¶
From part (a), in the ordered basis \(\{\ket{+1},\ket{0},\ket{-1}\}\) the rotating-frame Hamiltonian is
To show there is a zero eigenvalue, it suffices to find a nonzero vector \(\vec v=(a,b,c)^T\) such that \(\hat H_{\rm rot}\vec v=\vec 0\).
workout
Define \(\alpha\equiv \Omega_1/\sqrt{2}\) to simplify notation. The equation \(\hat H_{\rm rot}\vec v=\vec 0\) is the linear system
From the middle equation, since \(\alpha\neq 0\) for a nontrivial drive, we have
Plugging \(c=-a\) into the first equation gives
The third equation becomes
which is automatically satisfied by the same \(b=-(\delta/\alpha)a\). Hence a nontrivial null vector exists for any detuning \(\delta\), so \(\hat H_{\rm rot}\) has an eigenvalue \(E=0\).
Choosing \(a=1\) gives an (unnormalized) eigenvector
Interpreting this as the state \(\ket{D}\) in the \(\{\ket{+1},\ket{0},\ket{-1}\}\) basis,
workout
Normalize it. The squared norm of the coefficient vector is
Therefore the normalized dark state is
As a check, at resonance \(\delta=0\) this reduces to
which has no \(\ket{0}\) component.
(c)¶
In part (b) we found an eigenstate \(\ket{D}\) of the rotating-frame Hamiltonian with eigenvalue \(0\):
In the rotating frame, the Schrödinger equation is
If we prepare the system in \(\ket{\psi_{\rm rot}(0)}=\ket{D}\), then the time evolution is trivial because the eigenvalue is zero:
reminder
Now relate the lab-frame (Schrödinger-picture) state to the rotating-frame state. By definition in part (a),
so equivalently
workout
Using the action of \(\hat U(t)\) on \(\hat S_z\) eigenstates, \(\hat S_z\ket{m}=m\ket{m}\),
From part (b), we can write \(\ket{D}\) as
Therefore, in the lab frame,
This state is not stationary in the lab frame (the \(\ket{\pm 1}\) components acquire opposite time-dependent phases), but the amplitudes in the \(\hat S_z\) basis have constant magnitudes. Hence the probabilities for measuring each \(m\) are time-independent.
workout
So, in the dark state, the populations of the three \(\hat S_z\) eigenstates do not oscillate; only relative phases (in particular between \(\ket{+1}\) and \(\ket{-1}\)) evolve in time.
(d)¶
The key facts from parts (b)–(c) are:
- In the rotating frame, \(\hat H_{\rm rot}\) is time-independent.
- There exists a nontrivial state \(\ket{D}\) such that \(\hat H_{\rm rot}\ket{D}=0\).
- Therefore, if the system is in \(\ket{D}\) in the rotating frame, it does not evolve there (no dynamical phase even), so the rotating-frame amplitudes in the \(\hat S_z\) basis are constant in time.
- In the lab frame, the state is \(\ket{\psi(t)}=\hat U(t)\ket{D}\) with \(\hat U(t)=e^{-i\omega t \hat S_z}\), which only multiplies each \(\ket{m}\) component by a phase \(e^{-i\omega t m}\).
This is “surprising” because the lab-frame Hamiltonian explicitly drives transitions (\(\hat S_\pm\) terms), so one might expect populations to slosh around. The intuition for why they do not is that \(\ket{D}\) is a coherent superposition in which the drive-induced transition amplitudes destructively interfere.
additional reading
A clean way to see this is to rewrite the coupling part of the rotating-frame Hamiltonian as proportional to \(\hat S_x\):
The “drive” couples \(\ket{0}\) to the symmetric combination of \(\ket{+1}\) and \(\ket{-1}\). Meanwhile, the detuning term \(\delta \hat S_z\) couples the antisymmetric combination of \(\ket{\pm 1}\) to \(\ket{0}\) in just the right way to allow a stationary eigenstate.
More explicitly, in the \(\{\ket{+1},\ket{0},\ket{-1}\}\) basis, the drive term (the off-diagonal couplings) only connects nearest neighbors:
- \(\ket{+1}\leftrightarrow \ket{0}\) with matrix element \(\Omega_1/\sqrt{2}\)
- \(\ket{0}\leftrightarrow \ket{-1}\) with matrix element \(\Omega_1/\sqrt{2}\)
There is no direct \(\ket{+1}\leftrightarrow\ket{-1}\) coupling.
Now take a superposition with opposite amplitudes on \(\ket{+1}\) and \(\ket{-1}\). For the resonant case \(\delta=0\) the dark state is
Acting on this with the drive operator \(\hat S_+ + \hat S_-\) produces cancellation in the \(\ket{0}\) channel:
Therefore
so the drive has no effect at all: the transition amplitudes from \(\ket{+1}\) and from \(\ket{-1}\) to \(\ket{0}\) are equal in magnitude but opposite in sign, giving perfect destructive interference.
Away from resonance (\(\delta\neq 0\)), \(\ket{D}\) contains a specific amount of \(\ket{0}\),
chosen precisely so that the drive-induced flow into and out of \(\ket{0}\) cancels the detuning-induced phase evolution between \(\ket{+1}\) and \(\ket{-1}\) in the rotating frame. In other words, \(\ket{D}\) is an eigenstate of \(\hat H_{\rm rot}\) with eigenvalue \(0\), and eigenstates do not exchange population with other eigenstates.
Finally, why are the lab-frame probabilities constant?
- In the rotating frame, \(\ket{D}\) is time-independent, so the magnitudes of its components in the \(\hat S_z\) basis are time-independent.
- Transforming back to the lab frame multiplies each \(\ket{m}\) component by a pure phase \(e^{-i\omega t m}\), which cannot change the magnitude of the coefficient of \(\ket{m}\).
Thus the system can have nontrivial time-dependent phases in the lab frame while all \(\hat S_z\) measurement probabilities remain frozen: the drive is “on,” but it cannot couple the state out of the dark superposition because of destructive interference between the two excitation pathways \(\ket{+1}\to\ket{0}\) and \(\ket{-1}\to\ket{0}\).
(e)¶
From part (a), the rotating-frame Hamiltonian is
We already found one eigenpair: eigenvalue \(E_0=0\) with eigenvector \(\ket{D}\).
To find the remaining two eigenvalues, compute the characteristic polynomial. Let \(\alpha\equiv \Omega_1/\sqrt{2}\) and consider \(\det(\hat H_{\rm rot}-E I)=0\):
workout
Expand along the first row:
Compute each \(2\times 2\) determinant:
and
So
Rewrite the last term: \(-\alpha^2(-\delta-E)=+\alpha^2(\delta+E)\). Thus
Now expand the first product:
Compute:
Subtracting gives
Add \(\alpha^2(\delta+E)=\alpha^2\delta+\alpha^2E\):
Factor out \(E\):
Thus the eigenvalues are
Since \(2\alpha^2=2(\Omega_1^2/2)=\Omega_1^2\), define the generalized Rabi frequency
so
Now find the corresponding eigenvectors. Solve \((\hat H_{\rm rot}-E I)\vec v=\vec 0\) with \(\vec v=(a,b,c)^T\).
The equations are
workout
From the first and third equations, express \(b\) in two ways:
Hence
Now use the middle equation \(\alpha a-Eb+\alpha c=0\) to check consistency and fix the eigenvalue relation. Substitute \(b=-(\delta-E)a/\alpha\):
Multiply by \(\alpha\):
Insert \(c=-(\delta-E)a/(\delta+E)\):
Divide by \(a\) (nonzero):
Combine the \(\alpha^2\) terms:
Factor \(E\):
For \(E\neq 0\) this gives
i.e. \(E^2=\delta^2+2\alpha^2\), which is exactly \(E=\pm\Omega_R\). So the vector solution above is consistent.
We can therefore choose a convenient unnormalized eigenvector by setting \(a=1\) and using
It is often cleaner to eliminate fractions by multiplying the whole vector by \(\delta+E\). Define
But \(\delta^2-E^2=-2\alpha^2\), so the middle component becomes \(+2\alpha^2/\alpha=2\alpha\). Hence
Returning to \(\alpha=\Omega_1/\sqrt{2}\) gives \(2\alpha=\sqrt{2}\Omega_1\). Therefore, for \(E_\pm=\pm\Omega_R\) we can take unnormalized eigenvectors
Normalize them. Let
with \(\mathcal N_\pm\) chosen so that \(\braket{E_\pm}{E_\pm}=1\). The squared norm of the unnormalized coefficient vector is
Use the identity \((\delta+\Omega_R)^2+(\delta-\Omega_R)^2=2(\delta^2+\Omega_R^2)\) to write
Thus
So \(\mathcal N_\pm=1/(2\Omega_R).\) Therefore
Together with the dark state from part (b),
we have a complete eigenbasis of \(\hat H_{\rm rot}\).
Now address the oscillation frequencies in \(\langle \hat O(t)\rangle\) for an arbitrary initial state.
Write the initial rotating-frame state in the energy eigenbasis:
workout
Time evolution in the rotating frame is
For any observable \(\hat O\) (in the rotating frame), the expectation value will contain terms of the form
Thus the only possible nontrivial oscillation frequencies are the energy differences among \(\{0,+\Omega_R,-\Omega_R\}\):
- Between \(\ket{E_+}\) and \(\ket{D}\): frequency \(|+\Omega_R-0|=\Omega_R\).
- Between \(\ket{E_-}\) and \(\ket{D}\): frequency \(|-\Omega_R-0|=\Omega_R\).
- Between \(\ket{E_+}\) and \(\ket{E_-}\): frequency \(|+\Omega_R-(-\Omega_R)|=2\Omega_R\).
Therefore, ignoring the trivial \(\omega\)-dependent phases from undoing the rotating-frame transformation (which only add known \(\omega\)-precession factors depending on the observable), the dynamical oscillation frequencies you can see are
Here \(0\) corresponds to constant terms (diagonal contributions in the energy basis), while \(\Omega_R\) and \(2\Omega_R\) come from coherences between different energy eigenstates.
(f)¶
At resonance, \(\delta=0\) and hence (from part (a)) the rotating-frame Hamiltonian is
in the ordered basis \(\{\ket{+1},\ket{0},\ket{-1}\}\).
We will (i) diagonalize \(\hat H_{\rm rot}\), (ii) time-evolve the initial state \(\ket{\psi(0)}=\ket{-1}\) in the rotating frame, then (iii) transform back to the lab frame and compute probabilities.
Step 1: eigenvalues/eigenvectors at \(\delta=0\).
The matrix \(M\) has eigenvalues \(\mu=0,\pm\sqrt{2}\), so \(\hat H_{\rm rot}\) has energies \(E_0=0\) and \(E_\pm=\pm \Omega_1\).
A convenient normalized eigenbasis is
(Can quickly verify by direct multiplication \(M\ket{E_\pm}=\pm\sqrt{2}\ket{E_\pm}\) and \(M\ket{E_0}=0\).)
Step 2: decompose the initial state \(\ket{-1}\) in the energy eigenbasis.
workout
We solve \(\ket{-1}=a\ket{E_+}+b\ket{E_0}+c\ket{E_-}\) by matching components in the \(\{\ket{+1},\ket{0},\ket{-1}\}\) basis, obtaining
Step 3: time evolution in the rotating frame.
workout
Because the rotating-frame Hamiltonian is time-independent, we have
Now expand back in the \(\ket{m}\) basis. Writing
workout
one finds (collecting the coefficients of each \(\ket{m}\)):
For \(\ket{+1}\):
Equivalently,
For \(\ket{0}\):
For \(\ket{-1}\):
Equivalently,
So the rotating-frame state is
Step 4: transform back to the lab frame.
At resonance, \(\omega=\omega_0\) and with \(U(t)=e^{-i\omega t \hat S_z}\) we have
Since \(\hat S_z\ket{m}=m\ket{m}\), the unitary contributes phases \(e^{-im\omega_0 t}\) to each \(\ket{m}\) component:
workout
Therefore the lab-frame state is
Step 5: probabilities \(P_m(t)=|\braket{m}{\psi(t)}|^2\).
The lab-frame phases \(e^{\mp i\omega_0 t}\) do not affect probabilities, so \(P_m(t)=|c_m(t)|^2\):
workout
Normalization check:
Plot: example Python/Matplotlib snippet.
For plotting, you can use whatever tool like Python/Matplotlib, Mathematica, Desmos, etc. The plot will show oscillations between the three levels with the given probabilities.
(g)¶
We stay at resonance \(\delta=0\), so the rotating-frame Hamiltonian is the same as in part (f), with eigenpairs
workout
Step 1: decompose the initial state \(\ket{\psi(0)}=\ket{0}\) in this eigenbasis.
Compute overlaps:
- \(\braket{E_0}{0}=0\) since \(\ket{E_0}\) has no \(\ket{0}\) component.
- \(\braket{E_+}{0}=1/\sqrt{2}\).
- \(\braket{E_-}{0}=-1/\sqrt{2}\).
Hence
Step 2: time evolution in the rotating frame.
Expand in the \(\{\ket{+1},\ket{0},\ket{-1}\}\) basis. Write
For \(\ket{0}\):
For \(\ket{+1}\):
For \(\ket{-1}\):
So
Step 3: transform back to the lab frame (still at resonance \(\omega=\omega_0\)).
As in part (f), \(U(t)=e^{-i\omega_0 t \hat S_z}\) multiplies \(\ket{m}\) by \(e^{-im\omega_0 t}\). Therefore
Step 4: probabilities.
Again, the lab-frame phases do not affect probabilities, so
Normalization check:
Plot: example Python/Matplotlib snippet.
Problem 5-2: Sudden perturbation to a harmonic oscillator¶
(a)¶
Write the Hamiltonian as \(\hat H(t)=\hat H_0+\hat V(t)\) with
Define the interaction-picture state (with respect to \(\hat H_0\)) by
Differentiate and use the Schrödinger-picture equation \(i\,\partial_t\ket{\psi_S(t)}=\hat H(t)\ket{\psi_S(t)}\):
Thus the interaction-picture Schrödinger equation is (you can also find this on page 12 of Aash's Lecture Note #10)
workout
Now express \(\hat V_I(t)\) using ladder operators of the unperturbed oscillator. Let
The interaction-picture ladder operators evolve under \(\hat H_0\) as
Therefore
Square this (and use \(\hat a\hat a^\dagger=\hat a^\dagger\hat a+1\)):
Finally, since \(\theta(t)\) is a \(c\)-number,
(b)¶
For \(t>0\), the interaction-picture state is expanded in the \(\hat H_0\) number basis as (see Lecture Note #11b)
First-order time-dependent perturbation theory gives, for each \(n\),
workout
From part (a), with \(\omega_0=\sqrt{k/m}\) and \(\hat x=\sqrt{\frac{1}{2m\omega_0}}(\hat a+\hat a^\dagger)\), we had (for \(t>0\))
Selection rule from \(\hat x^2\): it changes \(n\) by \(0,\pm2\). Starting from \(\ket{0}\), the only off-diagonal state reachable at first order is \(\ket{2}\) (since \(\hat a^2\ket{0}=0\) and \(\hat a^\dagger \hat a\ket{0}=0\)).
-
Amplitude to reach \(\ket{2}\)
Only the \(\hat a^{\dagger 2}e^{+2i\omega_0 t'}\) term contributes:
\[ \matrixel{2}{\hat V_I(t')}{0} =\frac{\Delta k}{4m\omega_0}\,e^{+2i\omega_0 t'}\matrixel{2}{\hat a^{\dagger 2}}{0} =\frac{\Delta k}{4m\omega_0}\,e^{+2i\omega_0 t'}\sqrt{2}. \]Therefore,
\[ c_2^{(1)}(t) =-i\frac{\Delta k\sqrt{2}}{4m\omega_0}\int_0^t dt'\,e^{+2i\omega_0 t'} =-i\frac{\Delta k\sqrt{2}}{4m\omega_0}\cdot \frac{e^{2i\omega_0 t}-1}{2i\omega_0} =\frac{\Delta k\sqrt{2}}{8m\omega_0^2}\Big(1-e^{2i\omega_0 t}\Big). \]
workout
Hence the first-order transition probability to \(n=2\) (which is already order \((\Delta k)^2\)) is
Using \(m\omega_0^2=k\), this can be written more compactly as
- All other \(n\ge 0\) at first order
workout
For \(n\neq 0,2\), one has \(\matrixel{n}{\hat V_I(t')}{0}=0\), hence
at this order.
additional reading
-
Survival probability \(p_0(t)\) (important bookkeeping note)
The diagonal matrix element produces only a phase at first order:
\[ \matrixel{0}{\hat V_I(t')}{0}=\frac{\Delta k}{4m\omega_0} \quad\Rightarrow\quad c_0(t)=1-i\frac{\Delta k}{4m\omega_0}\,t+\cdots, \]so \(|c_0(t)|^2=1+O((\Delta k)^2)\). To see the depletion \(p_0(t)=1-p_2(t)+\cdots\) explicitly requires going to second order for \(c_0(t)\). If one enforces normalization only to leading nontrivial order in probabilities, you can summarize the results as
\[ p_n(t)\approx \begin{cases} 1-\dfrac{\Delta k^2}{8k^2}\sin^2(\omega_0 t), & n=0,\\[8pt] \dfrac{\Delta k^2}{8k^2}\sin^2(\omega_0 t), & n=2,\\[8pt] 0, & \text{otherwise}, \end{cases} \]understanding that the correction to \(p_0\) is effectively a second-order effect.
(c)¶
For \(t>0\), \(\theta(t)=1\), so the Hamiltonian becomes time-independent:
This is again a harmonic oscillator, but with an updated spring constant
so the new angular frequency is
Define the new ladder operators (built from the same \(\hat x,\hat p\) but using \(\omega'\)):
workout
They satisfy \([\hat b,\hat b^\dagger]=1\) (this follows directly from \([\hat x,\hat p]=i\)). Inverting these relations gives
Now rewrite \(\hat H\) in terms of \(\hat b,\hat b^\dagger\). Substitute \(\hat x,\hat p\) into
Using the above expressions, one finds (standard HO algebra)
Therefore, \(\hat H\) is diagonal in the number basis of \(\hat b^\dagger\hat b\). Its energy eigenstates are \(\ket{n'}\) satisfying \(\hat b^\dagger\hat b\ket{n'}=n\ket{n'}\), and the eigenvalues are
with \(\omega'=\sqrt{(k+\Delta k)/m}\).
(d)¶
For \(t>0\) the Hamiltonian is time-independent and has a discrete spectrum
Let \(\{\ket{n'}\}_{n\ge 0}\) be the corresponding energy eigenbasis, so that
The initial state at \(t=0\) is the old ground state \(\ket{0}\) of \(\hat H_0\), which is not (in general) an eigenstate of \(\hat H\). Expand it in the new eigenbasis:
Exact time evolution for \(t>0\) is then
workout
We are asked about \(p_n(t)\), the probability to find (upon measuring \(\hat H_0\) quanta) the original number state \(\ket{n}\):
Compute the amplitude:
Insert \(E_m=\omega'(m+1/2)\) and factor out the global phase \(e^{-i\omega' t/2}\) (which drops out of probabilities):
Thus \(A_n(t)\) is a Fourier series in harmonics \(e^{-im\omega' t}\), so it is periodic with period
Since \(p_n(t)=|A_n(t)|^2\), it follows that \(p_n(t)\) is also periodic with the same period:
(Equivalently: all energy gaps are integer multiples of \(\omega'\), since \(E_m-E_{m'}=\omega'(m-m')\), so any observable built from superpositions of energy eigenstates can only contain frequencies \(|m-m'|\omega'\), hence strict periodicity.)
Now you can compare this with part (b).
additional reading
In part (b) (first-order time-dependent perturbation theory in the interaction picture with respect to \(\hat H_0\)), one finds transition amplitudes proportional to
leading to probabilities that (for short times) behave like powers of \(t\) (e.g. \(p_2(t)\propto t^2\) for sufficiently small \(t\)), i.e. a secular growth that is not periodic.
There is no contradiction because first-order perturbation theory is only valid for short times and small perturbation strength. More precisely:
- The exact dynamics are periodic because the post-quench Hamiltonian has a perfectly discrete, equally spaced spectrum.
- The perturbative result expands the exact periodic functions in a Taylor series around \(t=0\). For example, a generic oscillatory factor satisfies
So at early times the exact periodic probabilities look like polynomials in \(t\) and can appear to “grow” without showing the eventual turn-around.
- At longer times \(t\sim 1/\Omega\) (here the relevant scale is set by \(\omega'\) and also by the perturbation strength through overlaps), higher-order terms in \(\Delta k\) become important and resum into bounded periodic functions. The apparent non-periodicity/secular behavior is an artifact of truncating the perturbation expansion.
So the consistent statement is:
Exact \(p_n(t)\) is periodic with \(T=2\pi/\omega'\), while first-order PT reproduces only the short-time expansion and misses recurrences.