A crossing sweep separates diabatic survival from ground-state following
Apply the Landau–Zener formula with explicit slope, coupling, endpoints, and final-state labels.
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The question for today
What you’ll understand
- Relate a linear diabatic sweep to the minimum adiabatic gap.
- Identify which probability the Landau–Zener exponential gives.
- State the ideal infinite-sweep assumptions and limits of a two-level reduction.
Near an avoided crossing, the instantaneous eigenvectors can rotate rapidly even when the energy curves look smooth. A system swept through that region may follow its adiabatic branch or remain closer to its original fixed-basis state. The Landau–Zener model solves an ideal linear two-level sweep and supplies a precise exponential for this distinction. We will state the Hamiltonian convention first, because a different factor in its diagonal slopes changes the apparent numerical constant in the formula.
The crossing basis and energy branches are different labels
Choose a fixed diabatic basis in which the diagonal energies are vt/2 and −vt/2, with positive sweep slope v, and take a constant real coupling g after a fixed basis-phase choice. The uncoupled diagonal difference grows at rate v. The exact instantaneous energies are plus and minus the square root of (vt/2)²+g². Their smallest separation is 2g at time zero. The two diabatic energy lines cross, while the adiabatic eigenvalues avoid crossing when g is nonzero.
At large negative time the first diabatic basis state is the lower-energy state. At large positive time that same fixed basis state is the higher-energy state. Therefore remaining in the same diabatic state through the sweep is a nonadiabatic outcome when the system began on the lower branch. Following the lower adiabatic branch instead transfers the population to the other diabatic state. Confusing these labels can turn a correct exponential into the opposite physical prediction about success or failure.
The exact ideal sweep gives an exponential
For unitary evolution from asymptotically negative to asymptotically positive time in this linear constant-coupling model, the probability to remain in the original diabatic state is exp(−2πg²/(ħv)). If the initial state is the lower adiabatic state, this is also the final excited-adiabatic-state probability. The lower-branch following probability is one minus that exponential. The result is exact for the ideal model, not a first-order perturbation estimate in the crossing region.
Slower sweep lowers the diabatic survival probability, while increasing coupling suppresses it through the square of g. Written in terms of the minimum gap, the same exponent contains πΔ_min²/(2ħv). This shows why using the gap where a formula expects the off-diagonal coupling changes the exponent by four. In the zero-coupling limit the fixed basis states never mix and diabatic survival is one; the instantaneous ground label then switches across a true crossing where the simple gapped adiabatic theorem no longer applies.
Real sweep endpoints and additional physics need checks
A finite experimental sweep can approximate the asymptotic formula when the endpoint detuning magnitudes greatly exceed both g and √(ħv), and the relevant crossing region is fully traversed. Endpoint preparation errors and coherent finite-time corrections may otherwise matter. Multiple crossings can interfere through accumulated phases, and more than two nearby levels can invalidate the reduction. Dephasing, relaxation, nonlinear sweep profiles, and time-dependent coupling require their own models. A local avoided-crossing plot alone does not authorize using the ideal exponential for every driven system.
The quantum lab can display the endpoint distinction without simulating the sweep. Reset and set both controls to θ=0° and φ=0°, predicting P(1)=0. Reset again and set θ=180° and φ=0°, predicting P(1)=1. These are the opposite fixed-basis populations that ideal lower-branch following connects across the crossing. Playback only adds relative phase and cannot change either population. There is no slope, coupling, avoided-gap, or Landau–Zener transition control, so these endpoint states must not be presented as a measured sweep trajectory.
Work it through
Interpret the exponential with unambiguous labels
For the displayed Landau–Zener Hamiltonian, use scaled ħ=1, g=1 energy unit, and v=2π energy units per time unit. Prepare the lower branch at large negative time. Find the minimum gap, final original-diabatic-state probability, and final lower-branch probability.
The minimum adiabatic gap is twice the off-diagonal coupling, so it is two energy units. The difference of the uncoupled diagonal energies changes at slope v, not v/2.
The exponent is 2πg²/(ħv)=2π/(2π)=1. The probability to remain in the original diabatic state is exp(−1)≈0.368.
That original fixed basis state is the upper adiabatic branch at the end. The probability to follow the lower branch and change diabatic state is therefore 1−exp(−1)≈0.632.
The minimum gap is 2, diabatic survival and final adiabatic excitation have probability 0.368, and lower-branch following has probability 0.632.
The living notebook
Explore the model
Interactive lab · quantum
Distinguish the endpoint basis labels
Reset and set BOTH controls to θ=0° and φ=0°, predicting P(1)=0. Reset and set θ=180° and φ=0°, predicting P(1)=1. These are separately prepared sweep endpoints. Playback keeps these populations fixed and does not solve a crossing.
- Probability |0⟩
- 71.1%
- Probability |1⟩
- 28.9%
- Bloch (x, y, z)
- 0.78, 0.45, 0.42
A normalized two-level pure state, not an interacting field simulation. Playback adds one radian per second to the relative phase; basis probabilities stay fixed. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.
Look forA change of diabatic population is compatible with adiabatic ground-branch following, but this lab contains no physical sweep dynamics.
Pause & reason
Check your understanding
Your turn
Try it yourself
Keep scaled ħ=1 and g=1. Choose the largest positive linear slope v that makes the ideal final upper-branch probability at most 0.01. Use ln(100)≈4.605. State what additional endpoint condition a finite sweep needs before using this value.
Take a moment to make a prediction or work it out on paper. Open a hint when you need one.
Give me a hint
Take the logarithm of the exponential inequality without reversing its physical meaning: slower sweep should reduce excitation.
Compare with the solution
Require exp(−2π/v)≤0.01, so 2π/v≥ln100 and v≤2π/ln100≈1.36 energy units per time unit. This bound uses g rather than the gap 2g. A finite sweep must begin and end at detuning magnitudes much larger than both g and √(ħv), with the intended asymptotic branch prepared and the crossing region traversed; otherwise finite-endpoint corrections need analysis.
Keep the idea
Take it with you
- The Landau–Zener exponent depends on a clearly defined diagonal-difference slope and off-diagonal coupling.
- Diabatic survival is adiabatic excitation for the stated initial lower branch.
- Finite endpoints, multiple levels, and environmental effects can change the ideal prediction.
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