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University Quantum Mechanics I · unit UQMI-11

Two-State Quantum Systems

Connect the ideas, make your working visible, and test the result. Use the hints when you need a starting point; open the full solution after your attempt.

Extra challenging questions

A selection from this pathway. Open a topic below for its complete practice and challenge set.

Extra challenging · 01

The two-state idealisation and when it is legitimate: infer an input with uncertainty

The two-state idealisation writes a system's state as c₁|1⟩ + c₂|2⟩ and discards every other level; it is legitimate when each discarded level lies further away in energy than both the couplings that reach it and ħ/τ for the timescale τ of the process. Use the supplied topic model Y_out = w/gap, where Y_out is COUPLING RATIO |W|/Δ (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. gap is Distance Δ to the discarded level, measured in meV. Keep w (Coupling |W| to that level) = 1.5 meV; tau (Timescale probed τ) = 150 fs fixed. For this exercise use only 21.9063 meV ≤ gap ≤ 73.0938 meV on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. A reading gives Y_out = 0.028232305, with a bounded reading uncertainty ±0.0011566. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown gap by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.00511875 meV, using a numerical bracket if required. Find the full input interval consistent with the bounded reading uncertainty and compare it with a symmetric input-error assumption. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

COUPLING RATIO |W|/Δ against gap

Predictions from the supplied The two-state idealisation and when it is legitimate model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): COUPLING RATIO |W|/Δ

COUPLING RATIO |W|/Δ against gapPredictions from the supplied The two-state idealisation and when it is legitimate model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: gap: Distance Δ to the discarded level / meV. Vertical axis: COUPLING RATIO |W|/Δ. Exact values are available in the data table below.0.01860.031550.04450.057440.0703919.8633.6847.561.3275.14xy

Horizontal axis (x): gap: Distance Δ to the discarded level / meV

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1gap: Distance Δ to the discarded level / meV: 21.91COUPLING RATIO |W|/Δ: 0.06847
Read the exact data as a table
COUPLING RATIO |W|/Δ against gap — supplied values
gap: Distance Δ to the discarded level / meVCOUPLING RATIO |W|/Δ
21.906250.06847360912981455
34.7031250.04322377307519135
47.50.031578947368421054
60.2968750.024876911116869654
73.093750.020521590423257803

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

The model's endpoint predictions bracket the reading. Solve Y_out(gap) = Y_measured and then solve again at Y_measured − u and Y_measured + u; a nonlinear inverse can give unequal input deviations.

Reveal the worked solution
  1. Endpoint predictions are Y_out(21.9063) = 0.0684736 and Y_out(73.0938) = 0.0205216. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives gap_line = 21.9063 + (0.0282323 − 0.0684736)(73.0938 − 21.9063)/(0.0205216 − 0.0684736) = 64.8628 meV. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Use the actual equation, not the chord, and bracket its root. Evaluating the midpoint and retaining the sign-changing half-interval gives gap = 53.1306 meV; substituting back gives Y_out = 0.028232305.
  4. The interpolation error in the input is |gap_line − gap| = 11.7321 meV. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 0.027075705 and 0.029388905. Sort the roots even if the response decreases: 51.0397 meV ≤ gap ≤ 55.4002 meV.
  6. The lower and upper input deviations are 2.09096 meV and 2.26959 meV. They differ because the inverse response is nonlinear; a symmetric error bar would only be a local approximation. This interval includes reading uncertainty only, not model error or uncertainty in fixed inputs.

Answer gap ≈ 53.1306 meV; compatible interval [51.0397, 55.4002] meV. Endpoint interpolation gives 64.8628 meV.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.

Extra challenging · 02

State vectors: |ψ⟩ = a|1⟩ + b|2⟩, normalisation, and phase: infer an input with uncertainty

A two-state ket, written in an orthonormal basis (|1⟩, |2⟩), is the column (a, b) of complex coordinates a = ⟨1|ψ⟩ and b = ⟨2|ψ⟩, scaled so that |a|² + |b|² = 1 and defined only up to one overall phase factor. Use the supplied topic model Y_out = ((cosd(theta/2)*cosd(alpha) - sind(theta/2)*cosd(phi+alpha))^2 + (cosd(theta/2)*sind(alpha) - sind(theta/2)*sind(phi+alpha))^2)/2, where Y_out is P₋ = |a − b|²/2 (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sind/cosd/tand use degrees. theta is Polar angle θ, measured in °. Keep phi (Relative phase φ) = 45 °; alpha (Global phase α) = 0 ° fixed. For this exercise use only 94.725 ° ≤ theta ≤ 160.875 ° on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. A reading gives Y_out = 0.25033402, with a bounded reading uncertainty ±0.015403. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown theta by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.006615 °, using a numerical bracket if required. Find the full input interval consistent with the bounded reading uncertainty and compare it with a symmetric input-error assumption. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

P₋ = |a − b|²/2 against theta

Predictions from the supplied State vectors: |ψ⟩ = a|1⟩ + b|2⟩, normalisation, and phase model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): P₋ = |a − b|²/2

P₋ = |a − b|²/2 against thetaPredictions from the supplied State vectors: |ψ⟩ = a|1⟩ + b|2⟩, normalisation, and phase model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: theta: Polar angle θ / °. Vertical axis: P₋ = |a − b|²/2. Exact values are available in the data table below.0.13820.2020.26590.32980.393692.08109.9127.8145.7163.5xy

Horizontal axis (x): theta: Polar angle θ / °

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1theta: Polar angle θ / °: 94.72P₋ = |a − b|²/2: 0.1476
Read the exact data as a table
P₋ = |a − b|²/2 against theta — supplied values
theta: Polar angle θ / °P₋ = |a − b|²/2
94.7250.1476481466296353
111.262499999999990.17051342166960437
127.80.22063801628030438
144.33750.2938749866020792
160.8750.3841652391552801

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

The model's endpoint predictions bracket the reading. Solve Y_out(theta) = Y_measured and then solve again at Y_measured − u and Y_measured + u; a nonlinear inverse can give unequal input deviations.

Reveal the worked solution
  1. Endpoint predictions are Y_out(94.725) = 0.147648 and Y_out(160.875) = 0.384165. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives theta_line = 94.725 + (0.250334 − 0.147648)(160.875 − 94.725)/(0.384165 − 0.147648) = 123.445 °. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Use the actual equation, not the chord, and bracket its root. Evaluating the midpoint and retaining the sign-changing half-interval gives theta = 135.077 °; substituting back gives Y_out = 0.25033402.
  4. The interpolation error in the input is |theta_line − theta| = 11.6319 °. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 0.23493102 and 0.26573702. Sort the roots even if the response decreases: 131.433 ° ≤ theta ≤ 138.502 °.
  6. The lower and upper input deviations are 3.64335 ° and 3.42536 °. They differ because the inverse response is nonlinear; a symmetric error bar would only be a local approximation. This interval includes reading uncertainty only, not model error or uncertainty in fixed inputs.

Answer theta ≈ 135.077 °; compatible interval [131.433, 138.502] °. Endpoint interpolation gives 123.445 °.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.

Extra challenging · 03

Operators as matrices: Aₘₙ = ⟨m|Â|n⟩ and Hermiticity: infer an input with uncertainty

In an orthonormal basis an operator becomes the table Aₘₙ = ⟨m|Â|n⟩, whose column n lists the components of Â|n⟩; it can represent an observable only if the table equals its own conjugate transpose, Aₘₙ = Aₙₘ*. Use the supplied topic model Y_out = 1+sqrt(d*d+v*v), where Y_out is LARGER EIGENVALUE a₀ + |a⃗| (meV). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sqrt(x) means √x. d is Half-splitting a₃ = (A₁₁ − A₂₂)/2, measured in meV. Keep v (Coupling size |A₁₂|) = 2 meV; beta (Coupling phase β = arg A₁₂) = 60 ° fixed. For this exercise use only -2.3625 meV ≤ d ≤ -0.1575 meV on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. A reading gives Y_out = 3.2439261 meV, with a bounded reading uncertainty ±0.03566 meV. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown d by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.0002205 meV, using a numerical bracket if required. Find the full input interval consistent with the bounded reading uncertainty and compare it with a symmetric input-error assumption. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

LARGER EIGENVALUE a₀ + |a⃗| against d

Predictions from the supplied Operators as matrices: Aₘₙ = ⟨m|Â|n⟩ and Hermiticity model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): LARGER EIGENVALUE a₀ + |a⃗| / meV

LARGER EIGENVALUE a₀ + |a⃗| against dPredictions from the supplied Operators as matrices: Aₘₙ = ⟨m|Â|n⟩ and Hermiticity model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: d: Half-splitting a₃ = (A₁₁ − A₂₂)/2 / meV. Vertical axis: LARGER EIGENVALUE a₀ + |a⃗| / meV. Exact values are available in the data table below.2.9633.2573.5513.8454.139-2.451-1.855-1.26-0.6646-0.0693xy

Horizontal axis (x): d: Half-splitting a₃ = (A₁₁ − A₂₂)/2 / meV

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1d: Half-splitting a₃ = (A₁₁ − A₂₂)/2 / meV: -2.362LARGER EIGENVALUE a₀ + |a⃗| / meV: 4.095
Read the exact data as a table
LARGER EIGENVALUE a₀ + |a⃗| against d — supplied values
d: Half-splitting a₃ = (A₁₁ − A₂₂)/2 / meVLARGER EIGENVALUE a₀ + |a⃗| / meV
-2.36254.09538466914857
-1.81124999999999983.6982636199044747
-1.25999999999999983.363810483097154
-0.70874999999999983.1218686487386536
-0.157499999999999753.0061919773541117

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

The model's endpoint predictions bracket the reading. Solve Y_out(d) = Y_measured and then solve again at Y_measured − u and Y_measured + u; a nonlinear inverse can give unequal input deviations.

Reveal the worked solution
  1. Endpoint predictions are Y_out(-2.3625) = 4.09538 meV and Y_out(-0.1575) = 3.00619 meV. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives d_line = -2.3625 + (3.24393 − 4.09538)(-0.1575 − -2.3625)/(3.00619 − 4.09538) = -0.638777 meV. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Use the actual equation, not the chord, and bracket its root. Evaluating the midpoint and retaining the sign-changing half-interval gives d = -1.01745 meV; substituting back gives Y_out = 3.2439261 meV.
  4. The interpolation error in the input is |d_line − d| = 0.378673 meV. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 3.2082661 meV and 3.2795861 meV. Sort the roots even if the response decreases: -1.09385 meV ≤ d ≤ -0.936183 meV.
  6. The lower and upper input deviations are 0.0764023 meV and 0.0812666 meV. They differ because the inverse response is nonlinear; a symmetric error bar would only be a local approximation. This interval includes reading uncertainty only, not model error or uncertainty in fixed inputs.

Answer d ≈ -1.01745 meV; compatible interval [-1.09385, -0.936183] meV. Endpoint interpolation gives -0.638777 meV.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.

Extra challenging · 04

The 2×2 eigenvalue problem and the mixing angle: infer an input with uncertainty

The mixing angle χ of a two-state Hamiltonian is the angle of the rotation that diagonalises it: with the coupling made real, the upper eigenstate is cos χ|1⟩ + sin χ|2⟩, where tan 2χ = 2|V|/(E₁ − E₂) and 0 ≤ χ ≤ 90°. Use the supplied topic model Y_out = sqrt(d^2/4+v^2)-abs(d)/2, where Y_out is PUSH E₊ − max(E₁, E₂) (meV). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sqrt(x) means √x; abs(x) means |x|. d is Uncoupled offset E₁ − E₂, measured in meV. Keep v (Coupling |V|) = 5 meV fixed. For this exercise use only 2.1 meV ≤ d ≤ 31.5 meV on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. A reading gives Y_out = 1.1785477 meV, with a bounded reading uncertainty ±0.060592 meV. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown d by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.00294 meV, using a numerical bracket if required. Find the full input interval consistent with the bounded reading uncertainty and compare it with a symmetric input-error assumption. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

PUSH E₊ − max(E₁, E₂) against d

Predictions from the supplied The 2×2 eigenvalue problem and the mixing angle model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): PUSH E₊ − max(E₁, E₂) / meV

PUSH E₊ − max(E₁, E₂) against dPredictions from the supplied The 2×2 eigenvalue problem and the mixing angle model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: d: Uncoupled offset E₁ − E₂ / meV. Vertical axis: PUSH E₊ − max(E₁, E₂) / meV. Exact values are available in the data table below.0.64321.532.4173.3044.190.9248.86216.824.7432.68xy

Horizontal axis (x): d: Uncoupled offset E₁ − E₂ / meV

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1d: Uncoupled offset E₁ − E₂ / meV: 2.1PUSH E₊ − max(E₁, E₂) / meV: 4.059
Read the exact data as a table
PUSH E₊ − max(E₁, E₂) against d — supplied values
d: Uncoupled offset E₁ − E₂ / meVPUSH E₊ − max(E₁, E₂) / meV
2.10000000000000144.059060579010587
9.4500000000000012.1543622524184602
16.81.3754795278799499
24.150.9942626035289379
31.50.7746028696607397

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

The model's endpoint predictions bracket the reading. Solve Y_out(d) = Y_measured and then solve again at Y_measured − u and Y_measured + u; a nonlinear inverse can give unequal input deviations.

Reveal the worked solution
  1. Endpoint predictions are Y_out(2.1) = 4.05906 meV and Y_out(31.5) = 0.774603 meV. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives d_line = 2.1 + (1.17855 − 4.05906)(31.5 − 2.1)/(0.774603 − 4.05906) = 27.8842 meV. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Use the actual equation, not the chord, and bracket its root. Evaluating the midpoint and retaining the sign-changing half-interval gives d = 20.034 meV; substituting back gives Y_out = 1.1785477 meV.
  4. The interpolation error in the input is |d_line − d| = 7.85019 meV. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 1.1179557 meV and 1.2391397 meV. Sort the roots even if the response decreases: 18.9361 meV ≤ d ≤ 21.2443 meV.
  6. The lower and upper input deviations are 1.09785 meV and 1.21029 meV. They differ because the inverse response is nonlinear; a symmetric error bar would only be a local approximation. This interval includes reading uncertainty only, not model error or uncertainty in fixed inputs.

Answer d ≈ 20.034 meV; compatible interval [18.9361, 21.2443] meV. Endpoint interpolation gives 27.8842 meV.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.

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