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Course and syllabus guidance

University Physics V · topic UPV-20.04

Tensor products, entanglement, and the Schmidt decomposition

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

Tensor products, entanglement and Schmidt form: predict a finite change

A pure state of two systems is entangled when it cannot be written as one vector tensor another; equivalently its coefficient matrix has rank above one, its Schmidt decomposition has more than one term, and the reduced state of either half is mixed. Use the supplied topic model Y_out = abs(sind(2*t)), where Y_out is CONCURRENCE 2|det C| (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; abs(x) means |x|; sind/cosd/tand use degrees. t is Schmidt angle θ, measured in °. Keep a (Local rotation α on qubit A) = 0 °; b (Local rotation β on qubit B) = 0 ° fixed. For this exercise use only 47.3625 ° ≤ t ≤ 80.4375 ° 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 t = 54.639 ° and 59.2695 °. Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δt across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

CONCURRENCE 2|det C| against t

Predictions from the supplied Tensor products, entanglement and Schmidt form 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): CONCURRENCE 2|det C|

CONCURRENCE 2|det C| against tPredictions from the supplied Tensor products, entanglement and Schmidt form 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: t: Schmidt angle θ / °. Vertical axis: CONCURRENCE 2|det C|. Exact values are available in the data table below.0.30090.48150.66210.84271.02346.0454.9763.972.8381.76xy

Horizontal axis (x): t: Schmidt angle θ / °

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

Reading 1t: Schmidt angle θ / °: 47.36CONCURRENCE 2|det C|: 0.9966
Read the exact data as a table
CONCURRENCE 2|det C| against t — supplied values
t: Schmidt angle θ / °CONCURRENCE 2|det C|
47.36250.9966015395273318
55.6312499999999940.9319287753895013
63.90.7901550123756905
72.168750.5830095789833507
80.43750.3276301795616937

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

Show a hint

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

Reveal the worked solution
  1. At t = 54.639 °, substitute into Y_out = abs(sind(2*t)): Y₀ = 0.943928.
  2. At t = 59.2695 °, the same fixed-parameter model gives Y₁ = 0.878492.
  3. Signed change: ΔY_out = Y₁ − Y₀ = -0.0654357; the input change is Δt = 4.6305 °.
  4. Average sensitivity is ΔY_out/Δt = -0.0141314 1 per °. Its negative sign means that this response decreases 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 = 0.943928, Y₁ = 0.878492; ΔY_out = -0.0654357; average sensitivity = -0.0141314 1 per °.

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

Tensor products, entanglement and Schmidt form: infer an input with uncertainty

A pure state of two systems is entangled when it cannot be written as one vector tensor another; equivalently its coefficient matrix has rank above one, its Schmidt decomposition has more than one term, and the reduced state of either half is mixed. Use the supplied topic model Y_out = abs(sind(2*t)), where Y_out is CONCURRENCE 2|det C| (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; abs(x) means |x|; sind/cosd/tand use degrees. t is Schmidt angle θ, measured in °. Keep a (Local rotation α on qubit A) = 0 °; b (Local rotation β on qubit B) = 0 ° fixed. For this exercise use only 47.3625 ° ≤ t ≤ 80.4375 ° 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 = 0.70616204, with a bounded reading uncertainty ±0.043566. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown t by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.0033075 °, 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

CONCURRENCE 2|det C| against t

Predictions from the supplied Tensor products, entanglement and Schmidt form 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): CONCURRENCE 2|det C|

CONCURRENCE 2|det C| against tPredictions from the supplied Tensor products, entanglement and Schmidt form 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: t: Schmidt angle θ / °. Vertical axis: CONCURRENCE 2|det C|. Exact values are available in the data table below.0.30090.48150.66210.84271.02346.0454.9763.972.8381.76xy

Horizontal axis (x): t: Schmidt angle θ / °

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

Reading 1t: Schmidt angle θ / °: 47.36CONCURRENCE 2|det C|: 0.9966
Read the exact data as a table
CONCURRENCE 2|det C| against t — supplied values
t: Schmidt angle θ / °CONCURRENCE 2|det C|
47.36250.9966015395273318
55.6312499999999940.9319287753895013
63.90.7901550123756905
72.168750.5830095789833507
80.43750.3276301795616937

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(t) = 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(47.3625) = 0.996602 and Y_out(80.4375) = 0.32763. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives t_line = 47.3625 + (0.706162 − 0.996602)(80.4375 − 47.3625)/(0.32763 − 0.996602) = 61.7223 °. 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 t = 67.5382 °; substituting back gives Y_out = 0.70616204.
  4. The interpolation error in the input is |t_line − t| = 5.81596 °. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 0.66259604 and 0.74972804. Sort the roots even if the response decreases: 65.7166 ° ≤ t ≤ 69.2509 °.
  6. The lower and upper input deviations are 1.82166 ° and 1.71267 °. 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 t ≈ 67.5382 °; compatible interval [65.7166, 69.2509] °. Endpoint interpolation gives 61.7223 °.

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