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University Advanced Quantum Mechanics · topic UAQM-11.07

Coherent states of a mode and the classical field

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.

Further practice

Work through a fresh case before tackling the extension.

Further practice · 01

Coherent states of a mode and the classical field: predict a finite change

A coherent state |α⟩ of a field mode is the state a prescribed classical current leaves the vacuum in: an eigenstate of the annihilation operator, a|α⟩ = α|α⟩, whose mean field is the classical wave of complex amplitude α and whose noise is the vacuum's. Use the supplied topic model Y_out = 1-1/nbar, where Y_out is g⁽²⁾(0) OF |n⟩, n = n̄ (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. nbar is Mean photon number n̄ = |α|², dimensionless. Keep phi (Phase φ of α) = 0 ° fixed. For this exercise use only 2.59375 ≤ nbar ≤ 14.4062 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. Calculate Y_out at nbar = 5.1925 and 6.84625. Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δnbar across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

g⁽²⁾(0) OF |n⟩, n = n̄ against nbar

Predictions from the supplied Coherent states of a mode and the classical field 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): g⁽²⁾(0) OF |n⟩, n = n̄

g⁽²⁾(0) OF |n⟩, n = n̄ against nbarPredictions from the supplied Coherent states of a mode and the classical field 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: nbar: Mean photon number n̄ = |α|². Vertical axis: g⁽²⁾(0) OF |n⟩, n = n̄. Exact values are available in the data table below.0.60180.68720.77250.85790.94322.1215.3118.511.6914.88xy

Horizontal axis (x): nbar: Mean photon number n̄ = |α|²

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

Reading 1nbar: Mean photon number n̄ = |α|²: 2.594g⁽²⁾(0) OF |n⟩, n = n̄: 0.6145
Read the exact data as a table
g⁽²⁾(0) OF |n⟩, n = n̄ against nbar — supplied values
nbar: Mean photon number n̄ = |α|²g⁽²⁾(0) OF |n⟩, n = n̄
2.593750.6144578313253012
5.5468750.819718309859155
8.50.8823529411764706
11.4531249999999980.91268758526603
14.4062499999999980.93058568329718

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

Show a hint

Substitute each value of nbar separately while keeping every other input fixed, then subtract in the same order.

Reveal the worked solution
  1. At nbar = 5.1925, substitute into Y_out = 1-1/nbar: Y₀ = 0.807415.
  2. At nbar = 6.84625, the same fixed-parameter model gives Y₁ = 0.853935.
  3. Signed change: ΔY_out = Y₁ − Y₀ = 0.0465201; the input change is Δnbar = 1.65375.
  4. Average sensitivity is ΔY_out/Δnbar = 0.0281301 1 per unit input. Its positive sign means that this response increases over the specified interval.
  5. This is a secant slope between two settings. It equals a point derivative only for a locally linear relation or in a justified small-interval limit.

Answer Y₀ = 0.807415, Y₁ = 0.853935; ΔY_out = 0.0465201; average sensitivity = 0.0281301 1 per unit input.

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

Extra challenging questions

Work through the linked stages and explain what each result means.

Extra challenging · 01

Coherent states of a mode and the classical field: infer an input with uncertainty

A coherent state |α⟩ of a field mode is the state a prescribed classical current leaves the vacuum in: an eigenstate of the annihilation operator, a|α⟩ = α|α⟩, whose mean field is the classical wave of complex amplitude α and whose noise is the vacuum's. Use the supplied topic model Y_out = 1-1/nbar, where Y_out is g⁽²⁾(0) OF |n⟩, n = n̄ (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. nbar is Mean photon number n̄ = |α|², dimensionless. Keep phi (Phase φ of α) = 0 ° fixed. For this exercise use only 2.59375 ≤ nbar ≤ 14.4062 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 = 0.89795268, with a bounded reading uncertainty ±0.004895. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown nbar by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.00118125, 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

g⁽²⁾(0) OF |n⟩, n = n̄ against nbar

Predictions from the supplied Coherent states of a mode and the classical field 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): g⁽²⁾(0) OF |n⟩, n = n̄

g⁽²⁾(0) OF |n⟩, n = n̄ against nbarPredictions from the supplied Coherent states of a mode and the classical field 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: nbar: Mean photon number n̄ = |α|². Vertical axis: g⁽²⁾(0) OF |n⟩, n = n̄. Exact values are available in the data table below.0.60180.68720.77250.85790.94322.1215.3118.511.6914.88xy

Horizontal axis (x): nbar: Mean photon number n̄ = |α|²

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

Reading 1nbar: Mean photon number n̄ = |α|²: 2.594g⁽²⁾(0) OF |n⟩, n = n̄: 0.6145
Read the exact data as a table
g⁽²⁾(0) OF |n⟩, n = n̄ against nbar — supplied values
nbar: Mean photon number n̄ = |α|²g⁽²⁾(0) OF |n⟩, n = n̄
2.593750.6144578313253012
5.5468750.819718309859155
8.50.8823529411764706
11.4531249999999980.91268758526603
14.4062499999999980.93058568329718

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(nbar) = 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(2.59375) = 0.614458 and Y_out(14.4062) = 0.930586. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives nbar_line = 2.59375 + (0.897953 − 0.614458)(14.4062 − 2.59375)/(0.930586 − 0.614458) = 13.1869. 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 nbar = 9.79938; substituting back gives Y_out = 0.89795268.
  4. The interpolation error in the input is |nbar_line − nbar| = 3.3875. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 0.89305768 and 0.90284768. Sort the roots even if the response decreases: 9.35084 ≤ nbar ≤ 10.2931.
  6. The lower and upper input deviations are 0.44854 and 0.49374. 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 nbar ≈ 9.79938; compatible interval [9.35084, 10.2931]. Endpoint interpolation gives 13.1869.

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