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Lecture 2.7: Atomic Clocks and Noisy Qubits

Purdue University

Part 1: What is a Second?

Let’s start with a simple question: How is the second defined?

The answer has changed throughout history, and it’s a fascinating story of humanity trying to pin down time more and more precisely.

Ancient Times: The Day Divided

For most of human civilization, time was defined astronomically. The Babylonians divided the day into 24 hours, each hour into 60 minutes, and each minute into 60 seconds. This gives us:

1 day=24×60×60=86,400 seconds1 \text{ day} = 24 \times 60 \times 60 = 86,400 \text{ seconds}

So a second was simply 1/86,400 of a mean solar day — the average time between two successive noons.

This worked fine for thousands of years. But there was a problem lurking.

The Problem: Earth is a Lousy Clock

By the 20th century, astronomers could measure Earth’s rotation precisely enough to notice something troubling: it’s not constant.

The “day” was drifting! A second defined as 1/86,400 of a day would itself be changing over time. Not good for precision science.

1956: The Ephemeris Second

The scientific community’s first fix was to base the second on something more stable: Earth’s orbit around the Sun.

In 1956, the second was redefined as:

1 second=131,556,925.9747 of the tropical year 19001 \text{ second} = \frac{1}{31,556,925.9747} \text{ of the tropical year 1900}

The “tropical year” is the time from one spring equinox to the next. By pegging it to the year 1900, they avoided the problem of the year length changing over time.

This was more stable than the rotating Earth, but it had a practical problem: you couldn’t actually measure it easily. The year 1900 was in the past! Astronomers had to work backwards from observations, which was slow and cumbersome.

1967: The Atomic Revolution

Then came the breakthrough. Physicists realized that atoms could provide a far better standard than any astronomical motion.

In 1967, the General Conference on Weights and Measures made a radical decision: define time using atoms, not astronomy. The second was redefined as:

1 second=9,192,631,770 oscillations of cesium-133\boxed{1 \text{ second} = 9,192,631,770 \text{ oscillations of cesium-133}}

Specifically, the oscillations of the radiation corresponding to the transition between two hyperfine levels of the cesium-133 ground state.

This number (9,192,631,770) wasn’t arbitrary — it was chosen to match the previous ephemeris second as closely as possible. But now it became the definition.

A Profound Shift

Think about what happened here:

Today, when you ask “how long is a second?”, the answer is: however long it takes a cesium atom to oscillate 9,192,631,770 times. Atomic clocks don’t measure time; they define it.

This is why atomic clocks are so fundamental — they’re not approximating some external standard, they are the standard.


Part 2: The Cesium Atom

Why cesium? And what is this “particular transition”?

Electron Transitions

Atoms have electrons in different energy levels. When an electron jumps from a higher level to a lower one, it emits a photon. These are the optical transitions — the ones that produce visible light. The energy difference between the ground state g|g\rangle and excited state e|e\rangle corresponds to optical frequencies (~1014 Hz).

But There’s More: Spin!

From last lecture, we learned that electrons have spin — an intrinsic angular momentum that makes them act like tiny bar magnets.

But here’s something new: the nucleus of the atom also has a magnetic dipole moment! In cesium-133, the nucleus has spin I=7/2I = 7/2, which means it’s also a tiny bar magnet.

Hyperfine Splitting

Now we have two bar magnets in the same atom: the electron spin and the nuclear spin. What happens when you put two bar magnets near each other?

This energy difference is called the hyperfine splitting. It’s much smaller than optical transition energies (which is why it’s called “fine” — it’s a fine detail), but it’s incredibly precise and stable.

For cesium-133, this hyperfine splitting corresponds to a frequency:

ν0=9,192,631,770 Hz\boxed{\nu_0 = 9,192,631,770 \text{ Hz}}

This is not a measurement — this IS the definition of the second.

Why Atomic Clocks Are So Good

Think about this frequency: roughly 10 billion oscillations per second.

If you’re trying to measure time precisely, you want a fast “tick.” A grandfather clock ticks once per second — not very precise. A quartz watch oscillates at 32,768 Hz — better. But cesium oscillates at 9.2 GHz — almost 10 billion ticks per second!

And here’s the key: every cesium atom in the universe is exactly identical. Not approximately the same — exactly the same. This is quantum mechanics: atoms don’t have manufacturing tolerances. A cesium atom in Boulder, Colorado has exactly the same hyperfine splitting as a cesium atom in Paris, or on the Moon, or in a galaxy a billion light-years away.

This is why atomic clocks are the most precise instruments ever built.


Part 3: How Does a Clock Work?

We already know the answer from last lecture: the Ramsey interferometer.

The Ramsey Sequence

  1. Initialize in 0|0\rangle (one hyperfine state — say, spins aligned)

  2. π/2-pulse (Rx(π/2)R_x(\pi/2)): Create superposition

    012(0i1)|0\rangle \to \frac{1}{\sqrt{2}}(|0\rangle - i|1\rangle)
  3. Wait time TT: The state precesses (accumulates phase)

  4. π/2-pulse (Rx(π/2)R_x(\pi/2)): Convert phase to population

  5. Measure: Count atoms in 0|0\rangle vs 1|1\rangle

The measurement probability oscillates: P0=sin2(ϕ/2)P_0 = \sin^2(\phi/2) where ϕ\phi is the accumulated phase.

The Key Question

Where does the precession come from in an atomic clock?

In the Stern-Gerlach picture, we applied an external magnetic field. But in an atomic clock, we’re not applying a DC magnetic field — we’re applying microwave radiation.

To understand this, we need to look at atom-light interactions.


Part 4: Atom-Light Interactions

The Energy Hamiltonian

From last lecture, we know that a spin in a magnetic field has Hamiltonian:

H=μB=γSBH = -\boldsymbol{\mu} \cdot \mathbf{B} = -\gamma \mathbf{S} \cdot \mathbf{B}

This gives us rotations on the Bloch sphere.

For our two hyperfine states with energy splitting ω0\hbar\omega_0, we can write:

H0=ω02σz=ω02()H_0 = \frac{\hbar\omega_0}{2}\sigma_z = \frac{\hbar\omega_0}{2}(|{\uparrow}\rangle\langle{\uparrow}| - |{\downarrow}\rangle\langle{\downarrow}|)

where |{\uparrow}\rangle has energy +ω0/2+\hbar\omega_0/2 and |{\downarrow}\rangle has energy ω0/2-\hbar\omega_0/2.

Time Evolution

From last lecture, the time evolution operator is U(t)=eiH0t/U(t) = e^{-iH_0 t/\hbar}.

Acting on our energy eigenstates:

eiω0t/2|{\uparrow}\rangle \to e^{-i\omega_0 t/2}|{\uparrow}\rangle

e+iω0t/2|{\downarrow}\rangle \to e^{+i\omega_0 t/2}|{\downarrow}\rangle

A superposition picks up a relative phase:

12(+)12(eiω0t/2+e+iω0t/2)\frac{1}{\sqrt{2}}(|{\uparrow}\rangle + |{\downarrow}\rangle) \to \frac{1}{\sqrt{2}}(e^{-i\omega_0 t/2}|{\uparrow}\rangle + e^{+i\omega_0 t/2}|{\downarrow}\rangle)

This is precession around the z-axis at frequency ω0\omega_0 — ten billion times per second!

But this is just free evolution. We still need a way to couple the two states — to drive transitions between them.


Part 5: Coupling with Light

Light is an Oscillating Field

How do we drive transitions between |{\uparrow}\rangle and |{\downarrow}\rangle?

We use light — specifically, microwave radiation at frequency near ω0\omega_0.

Light is an oscillating electromagnetic field. The electric field oscillates as E(t)=E0cos(ωLt)\mathbf{E}(t) = \mathbf{E}_0 \cos(\omega_L t), and similarly for the magnetic field. The subscript LL stands for “laser” (or “light”) — this is the frequency of our applied radiation.

The Interaction Picture

When a photon has energy matching the transition (ωLω0\hbar\omega_L \approx \hbar\omega_0), it can excite the atom from |{\downarrow}\rangle to |{\uparrow}\rangle or stimulate emission from |{\uparrow}\rangle to |{\downarrow}\rangle.

We model this coupling with an interaction term:

Hint=Ωcos(ωLt)(+)H_{int} = \hbar\Omega\cos(\omega_L t)(|{\uparrow}\rangle\langle{\downarrow}| + |{\downarrow}\rangle\langle{\uparrow}|)

where Ω\Omega is the Rabi frequency — it tells us how strongly the light couples to the atom (proportional to the light intensity).

The Full Hamiltonian

The total Hamiltonian is:

H=ω02σz+Ωcos(ωLt)σxH = \frac{\hbar\omega_0}{2}\sigma_z + \hbar\Omega\cos(\omega_L t)\sigma_x

Uh oh. This Hamiltonian is time-dependent. The Schrödinger equation becomes:

itψ=H(t)ψi\hbar\frac{\partial}{\partial t}|\psi\rangle = H(t)|\psi\rangle

This is much harder to solve than the time-independent case!


Part 6: The Rotating Frame Trick

Here’s a beautiful trick that transforms our hard, time-dependent problem into an easy, time-independent one.

The Idea

The time dependence comes from the cos(ωLt)\cos(\omega_L t) oscillating at frequency ωL\omega_L.

What if we rotate our reference frame at the same frequency? Then the oscillation would appear stationary!

This is like watching a spinning merry-go-round. If you stand on the ground, you see horses going up and down, around and around. But if you ride on the merry-go-round, the horses appear stationary (just bobbing up and down).

The Transformation

We define a rotating frame by the unitary transformation:

ψR=URψwhereUR=eiωLtσz/2|\psi_R\rangle = U_R^\dagger|\psi\rangle \quad \text{where} \quad U_R = e^{-i\omega_L t \sigma_z/2}

This rotates our state around the z-axis at frequency ωL\omega_L — we’re “riding along” with the light field.

The Rotating Frame Hamiltonian

After some algebra (see box below), the Hamiltonian in the rotating frame becomes:

HR=Δ2σz+Ω2σx\boxed{H_R = \frac{\hbar\Delta}{2}\sigma_z + \frac{\hbar\Omega}{2}\sigma_x}

where Δ=ω0ωL\Delta = \omega_0 - \omega_L is the detuning — the difference between the atomic frequency and the light frequency.

What We’ve Achieved

Before: Time-dependent Hamiltonian with oscillating terms — hard!

After: Time-independent Hamiltonian with constant coefficients — easy!

HR=Δ2σz+Ω2σxH_R = \frac{\hbar\Delta}{2}\sigma_z + \frac{\hbar\Omega}{2}\sigma_x

This is just a constant “magnetic field” pointing in a direction determined by Δ\Delta and Ω\Omega!


Part 7: Understanding the Rotating Frame

Let’s build intuition for what HR=Δ2σz+Ω2σxH_R = \frac{\hbar\Delta}{2}\sigma_z + \frac{\hbar\Omega}{2}\sigma_x means.

Visualizing the Rotating Frame

Imagine you’re on the Bloch sphere, but the whole sphere is rotating around the z-axis at frequency ωL\omega_L (the light frequency).

If ωL\omega_L is close to ω0\omega_0, then Δ\Delta is small — the precession appears slow in the rotating frame.

On Resonance (Δ=0\Delta = 0)

When ωL=ω0\omega_L = \omega_0 (the light is exactly on resonance):

HR=Ω2σxH_R = \frac{\hbar\Omega}{2}\sigma_x

This is just rotation around the x-axis at the Rabi frequency Ω\Omega.

The state oscillates between |{\uparrow}\rangle and |{\downarrow}\rangle — these are Rabi oscillations!

Off Resonance (Δ0\Delta \neq 0)

When ωLω0\omega_L \neq \omega_0:

HR=Δ2σz+Ω2σxH_R = \frac{\hbar\Delta}{2}\sigma_z + \frac{\hbar\Omega}{2}\sigma_x

The effective “field” points in a direction between z and x. The state precesses around this tilted axis.

If ΔΩ|\Delta| \gg \Omega: The field is mostly along z, so mostly precession (phase accumulation).

If ΩΔ\Omega \gg |\Delta|: The field is mostly along x, so mostly Rabi oscillations.


iClicker Question 1

In the rotating frame, what does the detuning Δ=ω0ωL\Delta = \omega_0 - \omega_L represent?

Answer: (B). In the rotating frame, HR=Δ2σz+Ω2σxH_R = \frac{\hbar\Delta}{2}\sigma_z + \frac{\hbar\Omega}{2}\sigma_x. The σz\sigma_z term causes precession around z at frequency Δ\Delta. When on resonance (Δ=0\Delta = 0), there’s no precession — only Rabi oscillations from the σx\sigma_x term.


Part 8: Ramsey Interferometry for Atomic Clocks

Now we can understand exactly how an atomic clock works!

The Goal

We have a local oscillator (a microwave source) at frequency ωL\omega_L. We want to lock ωL\omega_L to the atomic frequency ω0\omega_0.

The Ramsey Sequence in the Rotating Frame

  1. Initialize in |{\downarrow}\rangle (ground state)

  2. π/2-pulse (short, strong pulse with ΩΔ\Omega \gg \Delta):

    • During the pulse, HRΩ2σxH_R \approx \frac{\hbar\Omega}{2}\sigma_x

    • Apply for time tπ=π/(2Ω)t_\pi = \pi/(2\Omega)

    • Result: 12(i)|{\downarrow}\rangle \to \frac{1}{\sqrt{2}}(|{\downarrow}\rangle - i|{\uparrow}\rangle)

    • State is now on the equator of the Bloch sphere

  3. Free evolution for time TT (light off, so Ω=0\Omega = 0):

    • HR=Δ2σzH_R = \frac{\hbar\Delta}{2}\sigma_z

    • The state precesses around z at frequency Δ\Delta

    • Accumulates phase ϕ=ΔT\phi = \Delta \cdot T

  4. Second π/2-pulse:

    • Converts the accumulated phase into population difference

  5. Measure:

    • P=sin2(ΔT/2)P_{\downarrow} = \sin^2(\Delta T/2)

The Feedback Loop

If Δ=0\Delta = 0 (we’re on resonance): No precession during free evolution → P=0P_{\downarrow} = 0 (all atoms return to ground state).

If Δ0\Delta \neq 0 (we’re off resonance): Precession causes P0P_{\downarrow} \neq 0.

The clock algorithm:

  1. Run Ramsey sequence

  2. Measure PP_{\downarrow}

  3. If P>0P_{\downarrow} > 0, adjust ωL\omega_L to reduce Δ|\Delta|

  4. Repeat

The feedback loop locks ωL\omega_L to ω0\omega_0. Now our microwave oscillator ticks at exactly the cesium frequency!

Why This Works So Well


iClicker Question 2

In a Ramsey sequence for an atomic clock, if the measured probability P=0P_{\downarrow} = 0, this means:

Answer: (A). When ωL=ω0\omega_L = \omega_0, the detuning Δ=0\Delta = 0, so there’s no precession during free evolution. The state stays where the first π/2-pulse put it, and the second π/2-pulse returns it exactly to |{\downarrow}\rangle. Zero population in the excited state means we’re on resonance.


Part 9: Clock Precision

How Accurate Can This Be?

The frequency resolution of the Ramsey sequence is:

δω1T\delta\omega \sim \frac{1}{T}

Longer free evolution time TT → better precision.

In a cesium fountain clock:

For the cesium transition at ν0=9.2\nu_0 = 9.2 GHz:

δνν029.2×1092×1010\frac{\delta\nu}{\nu_0} \sim \frac{2}{9.2 \times 10^9} \sim 2 \times 10^{-10}

After averaging many measurements:

NIST-F2 (Boulder, Colorado): Fractional accuracy 1016\sim 10^{-16}

This means: gains or loses 1 second in 300 million years.

Optical Clocks: The Future

The fractional precision scales as 1/(ν0T)1/(\nu_0 T). Higher frequency → better precision!

Optical clocks use transitions in the visible/UV range:

Current optical clock precision: 1018\sim 10^{-18}

This means: gains or loses 1 second in the age of the universe.

These clocks are so precise they can detect:

In your lifetime, the definition of the second will probably switch from cesium to an optical transition.


Part 10: Decoherence — The Enemy

So far, we’ve assumed perfect, isolated atoms. Reality is messier.

What Goes Wrong?

As the atom precesses during free evolution, the environment can randomly kick its phase.

Imagine running the Ramsey experiment many times:

When we average over many runs:

Watching Decoherence Happen

Consider the Ramsey fringes as a function of free evolution time TT:

At short TT: Clear oscillations with full contrast.

At long TT: Random phase kicks accumulate → contrast decreases → eventually just flat at P=0.5P = 0.5.

This decay of oscillation amplitude is dephasing or decoherence.

# Simulating decoherence in Ramsey fringes
import numpy as np
import matplotlib.pyplot as plt

def ramsey_with_dephasing(phi, noise_strength, n_trials=200):
    """Average Ramsey signal with random phase noise."""
    results = []
    for _ in range(n_trials):
        random_phase = np.random.normal(0, noise_strength)
        results.append(np.sin((phi + random_phase)/2)**2)
    return np.mean(results)

# Plot for different noise strengths
phi = np.linspace(0, 4*np.pi, 100)
for noise in [0, 0.5, 1.0, 2.0]:
    P = [ramsey_with_dephasing(p, noise) for p in phi]
    plt.plot(phi/np.pi, P, label=f'noise = {noise}')
plt.xlabel('Phase φ/π')
plt.ylabel('P₀')
plt.legend()
plt.title('Ramsey Fringes with Dephasing')
plt.show()

Part 11: Physical Sources of Decoherence

Where does this random phase noise come from?

Example: NV Centers in Diamond

An NV center (nitrogen-vacancy center) is a defect in diamond that acts as a qubit. It’s an electron spin that we can control with microwaves and read out optically.

Sounds great! But there’s a problem...

The diamond crystal contains other spins:

The NV center spin feels the magnetic field from all these neighbors. As the neighbors fluctuate, the field at the NV center changes randomly.

Remember: H=γSBH = -\gamma \mathbf{S} \cdot \mathbf{B}

Random field → random precession frequency → random phase accumulation.

This is exactly the dephasing we described!

Other Systems

SystemMain noise source
Neutral atomsStray magnetic fields
Superconducting qubitsFlux noise, charge noise
Trapped ionsMagnetic field fluctuations
Quantum dotsNuclear spin bath, charge fluctuations

Every qubit platform has its own dominant noise sources, but the effect is the same: random phase kicks.


Part 12: T₁ and T₂ Times

We characterize decoherence with two timescales:

T₂: Dephasing Time

What it measures: How long until the phase information is lost.

Physical picture: Random rotations around the z-axis scramble the phase.

Bloch sphere: States on the equator spread out into a ring, then average to the center.

Fringe contrasteT/T2\text{Fringe contrast} \sim e^{-T/T_2}

T₁: Relaxation Time

What it measures: How long until the population decays.

Physical picture: The qubit randomly jumps between states, usually decaying to the ground state (lower energy).

Bloch sphere: All states drift toward the north pole (ground state).

Physical origin: Energy exchange with environment — emit a photon, create a phonon, etc.

The Relationship

T22T1T_2 \leq 2T_1

Why? T1T_1 processes also cause dephasing (if the state changes, the phase information is lost). But you can have pure dephasing without energy decay.

Typical Values

SystemT1T_1T2T_2
Trapped ionsminutesseconds
Neutral atomsseconds~1 second
Superconducting qubits~100 μs~100 μs
NV centersmsμs – ms
Quantum dotsns – μsns

iClicker Question 3

A qubit has T1=1T_1 = 1 ms and T2=100T_2 = 100 μs. Which statement is correct?

Answer: (B). Having T2T1T_2 \ll T_1 (but still T2<2T1T_2 < 2T_1) means pure dephasing dominates over relaxation. The qubit loses its phase information long before it loses its energy. This is common in solid-state systems where magnetic field fluctuations cause rapid dephasing.


Part 13: Why Quantum Computing is Hard

Now we get to the heart of the matter.

Quantum Computing = Interference Machine

A quantum computer works by:

  1. Preparing a superposition of many computational states

  2. Letting them evolve and interfere with each other

  3. Measuring the result

The interference is controlled by phases. Different computational paths accumulate different phases, and they add up (constructive interference) or cancel out (destructive interference).

Phase is everything!

The Problem

Any interaction with the environment scrambles the phases.

Even the tiniest coupling to the outside world — a stray magnetic field, a thermal photon, a vibrating atom — can kick the phase randomly.

Once the phases are scrambled, the interference pattern is destroyed. The quantum computation fails.

Dephasing is the enemy of quantum computing.

The Fundamental Dichotomy

Here’s what makes quantum computing so hard:

We need: Qubits that are perfectly isolated from their environment, so their phases stay coherent.

But we also need: Qubits that interact strongly with each other, so we can do two-qubit gates and create entanglement.

These requirements seem contradictory!

We want:

Perfectly isolated... except for precisely controlled interactions.

This is incredibly difficult to achieve. It’s why, despite decades of effort, we still don’t have large-scale fault-tolerant quantum computers.

The Engineering Challenge

Every quantum computing platform is trying to solve this puzzle:

Each platform makes different tradeoffs between isolation and control.


Summary

Atomic Clocks

Atom-Light Interactions

Decoherence

The Quantum Computing Challenge

Need: perfect isolationfrom environment+strong couplingbetween qubits\text{Need: } \underbrace{\text{perfect isolation}}_{\text{from environment}} + \underbrace{\text{strong coupling}}_{\text{between qubits}}

This dichotomy is why quantum computing is so hard.

Homework 2.7

Problem: The Rotating Frame Transformation

This problem guides you through the rotating frame transformation — the key trick that turns a time-dependent Hamiltonian into a time-independent one.

Setup: We have a two-level atom with energy splitting ω0\hbar\omega_0 driven by a light field oscillating at frequency ωL\omega_L. The lab-frame Hamiltonian is:

H=ω02σz+Ωcos(ωLt)σxH = \frac{\hbar\omega_0}{2}\sigma_z + \hbar\Omega\cos(\omega_L t)\sigma_x

Our goal is to transform to a rotating frame where this becomes time-independent.


(a) First, let’s understand the problem. Write cos(ωLt)\cos(\omega_L t) using Euler’s formula:

cos(ωLt)=12(eiωLt+eiωLt)\cos(\omega_L t) = \frac{1}{2}(e^{i\omega_L t} + e^{-i\omega_L t})

The e+iωLte^{+i\omega_L t} and eiωLte^{-i\omega_L t} terms oscillate at frequency ωL\omega_L. This time dependence makes the Schrödinger equation hard to solve.


(b) We define the rotating frame transformation:

UR(t)=eiωLtσz/2U_R(t) = e^{i\omega_L t \sigma_z/2}

This is a rotation around the z-axis that accumulates angle ωLt\omega_L t over time — it “spins” at the light frequency.

Compute UR(t)U_R(t) explicitly as a 2×22\times 2 matrix.

Hint: Use eiθσz/2=cos(θ/2)I+isin(θ/2)σz=(eiθ/200eiθ/2)e^{i\theta\sigma_z/2} = \cos(\theta/2)I + i\sin(\theta/2)\sigma_z = \begin{pmatrix} e^{i\theta/2} & 0 \\ 0 & e^{-i\theta/2} \end{pmatrix}


(c) We define the rotating frame state as:

ψ~(t)=UR(t)ψ(t)|\tilde{\psi}(t)\rangle = U_R(t)|\psi(t)\rangle

Take the time derivative of both sides. Show that:

idψ~dt=[URHURiURdURdt]ψ~i\hbar\frac{d|\tilde{\psi}\rangle}{dt} = \left[U_R H U_R^\dagger - i\hbar U_R \frac{dU_R^\dagger}{dt}\right]|\tilde{\psi}\rangle

Hint: Use the product rule: ddt(URψ)=dURdtψ+URdψdt\frac{d}{dt}(U_R|\psi\rangle) = \frac{dU_R}{dt}|\psi\rangle + U_R\frac{d|\psi\rangle}{dt}, and substitute the Schrödinger equation for dψdt\frac{d|\psi\rangle}{dt}.


(d) Compute the second term. Show that:

iURdURdt=ωL2σz-i\hbar U_R \frac{dU_R^\dagger}{dt} = -\frac{\hbar\omega_L}{2}\sigma_z

Hint: First find dURdt\frac{dU_R}{dt}, then dURdt\frac{dU_R^\dagger}{dt}, then put it together.


(e) Now we need to transform HH to the rotating frame: URHURU_R H U_R^\dagger.

The σz\sigma_z term is easy since σz\sigma_z commutes with UR=eiωLtσz/2U_R = e^{i\omega_L t \sigma_z/2}:

URσzUR=σzU_R \sigma_z U_R^\dagger = \sigma_z

For the σx\sigma_x term, use the identity:

eiθσz/2σxeiθσz/2=cos(θ)σx+sin(θ)σye^{i\theta\sigma_z/2}\sigma_x e^{-i\theta\sigma_z/2} = \cos(\theta)\sigma_x + \sin(\theta)\sigma_y

Show that:

URσxUR=cos(ωLt)σx+sin(ωLt)σyU_R \sigma_x U_R^\dagger = \cos(\omega_L t)\sigma_x + \sin(\omega_L t)\sigma_y

(f) Put it together. The driving term Ωcos(ωLt)σx\hbar\Omega\cos(\omega_L t)\sigma_x transforms to:

Ωcos(ωLt)[cos(ωLt)σx+sin(ωLt)σy]\hbar\Omega\cos(\omega_L t)\left[\cos(\omega_L t)\sigma_x + \sin(\omega_L t)\sigma_y\right]

Expand this using cos2(ωLt)=12(1+cos(2ωLt))\cos^2(\omega_L t) = \frac{1}{2}(1 + \cos(2\omega_L t)) and cos(ωLt)sin(ωLt)=12sin(2ωLt)\cos(\omega_L t)\sin(\omega_L t) = \frac{1}{2}\sin(2\omega_L t).

You should get terms that are constant plus terms oscillating at 2ωL2\omega_L.


(g) The Rotating Wave Approximation (RWA): When ωL\omega_L is large (optical or microwave frequencies), the 2ωL2\omega_L terms oscillate so fast that they average to zero. We drop them.

After applying the RWA, show that the effective rotating-frame Hamiltonian is:

H~=Δ2σz+Ω2σx\boxed{\tilde{H} = \frac{\hbar\Delta}{2}\sigma_z + \frac{\hbar\Omega}{2}\sigma_x}

where Δ=ω0ωL\Delta = \omega_0 - \omega_L is the detuning.


(h) Interpret your result: