Any physical process on a qubit can be built from an ancilla, a joint unitary and a discarded output. On the qubit alone it acts as a channel, a few Kraus operators sandwiching the density operator. We also saw that reading the ancilla, instead of discarding it, turns a CNOT record into a Z measurement.
That observation raises two questions. Our only measurements so far are projective, yet a real detector can be noisy, and a noisy detector is no projector. And two detectors with the same outcome frequencies may leave the system in different states. What describes a measurement in general? Reading an ancilla gives one operator per outcome, which fixes both the probability and the state left behind. Asking which part the probabilities actually use leaves a smaller object, the effect. The effects of a measurement form a POVM, and every POVM can be built from an ancilla. The full set of state changes is a larger object, the instrument, and sequential measurements show why it is needed.
Questions and worked problems
These exercises draw on the whole chapter. Attempt each question before opening a hint, explain your reasoning, then compare it with the worked solution.
1. Quick check §
Which of these pairs is a valid two-outcome POVM? (a) \(E_0=\mathrm{diag}(0.9,0.2)\), \(E_1=\mathrm{diag}(0.1,0.8)\); (b) \(E_0=\mathrm{diag}(1.1,0.5)\), \(E_1=\mathrm{diag}(-0.1,0.5)\); (c) \(E_0=\ket+\bra+\), \(E_1=\ket-\bra-\). For the valid ones, give the outcome probabilities on \(\ket0\).
Hint 1
Check positivity of each effect and \(E_0+E_1=I\).
Hint 2
\(p_j=\bra0E_j\ket0\).
Worked solution
(a) Valid: both effects are positive and they sum to \(I\). On \(\ket0\), \(p_0=0.9\) and \(p_1=0.1\). (b) Invalid: \(E_1\) has a negative entry, which would give probability \(-0.1\) on \(\ket0\), even though the effects sum to \(I\). (c) Valid, and projective: on \(\ket0\) each outcome has probability \(\frac12\). Effect (a) is not a projector, since \(0.9^2\neq0.9\): it reports the \(Z\) value unreliably.
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2. Quick check §
The noisy effect \(E_0=\mathrm{diag}(\frac34,\frac14)\), \(E_1=I-E_0\), is applied to \(\ket0\), \(\ket1\), and \(I/2\). Give \(p_0\) in each case. If \(\ket0\) and \(\ket1\) are equally likely a priori and the outcome is \(0\), what is the probability that the input was \(\ket0\)?
Hint 1
\(p_0=\mathrm{tr}(E_0\rho)\).
Hint 2
Use conditioning, as with the cards and the lamp.
Worked solution
\(p_0=\frac34\) for \(\ket0\), \(\frac14\) for \(\ket1\), and \(\frac12\) for \(I/2\). With equal priors, \(p(\ket0\mid0)=\frac{\frac12\cdot\frac34}{\frac12\cdot\frac34+\frac12\cdot\frac14}=\frac34\). The outcome is evidence about the \(Z\) value, like Bob’s lamp for the cards, rather than a sharp answer.
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3. Quick check §
Let \(\ket{\psi_k}=\cos\frac{2\pi k}{3}\ket0+\sin\frac{2\pi k}{3}\ket1\) for \(k=0,1,2\), and \(E_k=\frac23\ket{\psi_k}\bra{\psi_k}\). Check that \(\sum_kE_k=I\) and compute the three outcome probabilities on \(\ket0\). Can a two-dimensional system have a three-outcome measurement?
Hint 1
The average of the projectors is \(\frac13\sum_k\ket{\psi_k}\bra{\psi_k}=I/2\).
Hint 2
\(\braket0{\psi_k}=\cos\frac{2\pi k}{3}\).
Worked solution
Since \(\frac13\sum_k\ket{\psi_k}\bra{\psi_k}=\frac I2\), we get \(\sum_kE_k=\frac23\cdot\frac32I=I\), and each effect is positive. On \(\ket0\), \(p_k=\frac23\cos^2\frac{2\pi k}{3}\): \(\frac23\), \(\frac16\), \(\frac16\). A qubit can have a measurement with more outcomes than its dimension; the effects are then not orthogonal projectors, and an ancilla is needed to realize it with a projective readout.
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4. Worked problem §
Generalize the square-root measurement: \(E_0=\mathrm{diag}(q,1-q)\), \(M_j=\sqrt{E_j}\), applied to \(\ket+\). (a) Find the outcome probabilities and the conditional state after outcome \(0\). (b) If the outcome is ignored, show that the output coherence is \(\sqrt{q(1-q)}\) and find the probability that a later \(\pm\) test gives \(+\). (c) Evaluate at \(q=\frac12\), \(q=0.9\), and \(q=1\), and describe the trade-off.
Hint 1
\(M_0\ket+=(\sqrt q\ket0+\sqrt{1-q}\ket1)/\sqrt2\).
Hint 2
Each branch contributes off-diagonal \(\frac12\sqrt{q(1-q)}\).
Worked solution
(a) Each outcome has probability \(\frac12\); after outcome \(0\) the state is \(\sqrt q\ket0+\sqrt{1-q}\ket1\). (b) The branches contribute off-diagonal entries \(\frac12\sqrt{q(1-q)}\) each, totalling \(\sqrt{q(1-q)}\), so \(p(+)=\frac12+\sqrt{q(1-q)}\). (c) At \(q=\frac12\) the measurement learns nothing about \(Z\) and \(p(+)=1\): no disturbance. At \(q=0.9\), \(p(+)=0.8\). At \(q=1\), a sharp \(Z\) measurement, \(p(+)=\frac12\): full dephasing. The more the outcome reveals about \(Z\), the more coherence in the \(\pm\) basis it destroys, for this family of implementations.
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5. Worked problem §
A system qubit controls a rotation of an ancilla in \(\ket0\): \(\ket0\ket0\mapsto\ket0\ket0\), \(\ket1\ket0\mapsto\ket1(\cos\frac\theta2\ket0+\sin\frac\theta2\ket1)\), and the ancilla is then measured. (a) Find \(M_0,M_1\) and the effects. (b) Which conclusion is certain when the outcome is \(1\)? (c) For input \(\ket+\), give the outcome probabilities and conditional states.
Hint 1
\(M_0=\mathrm{diag}(1,\cos\frac\theta2)\) and \(M_1=\mathrm{diag}(0,\sin\frac\theta2)\).
Hint 2
\(E_1=\mathrm{diag}(0,\sin^2\frac\theta2)\) vanishes on \(\ket0\).
Worked solution
(a) \(M_0=\mathrm{diag}(1,\cos\frac\theta2)\) and \(M_1=\mathrm{diag}(0,\sin\frac\theta2)\), with effects \(E_0=\mathrm{diag}(1,\cos^2\frac\theta2)\) and \(E_1=\mathrm{diag}(0,\sin^2\frac\theta2)\). (b) Outcome \(1\) never occurs for \(\ket0\), so it certifies that the input was not \(\ket0\), and leaves the system in \(\ket1\). (c) For \(\ket+\), \(p_1=\frac12\sin^2\frac\theta2\) and the state becomes \(\ket1\); \(p_0=\frac12(1+\cos^2\frac\theta2)\), leaving \((\ket0+\cos\frac\theta2\ket1)/\sqrt{1+\cos^2\frac\theta2}\). The outcome-\(0\) branch is still a superposition, tilted toward \(\ket0\): a one-sided, partial measurement.
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6. Worked problem §
A qubit is known to be \(\ket0\) or \(\ket1\), each with prior probability \(\frac12\). The noisy instrument \(M_j=\sqrt{E_j}\) with \(E_0=\mathrm{diag}(\frac34,\frac14)\) is applied \(n\) times. (a) Why does the state stay \(\ket0\) or \(\ket1\) between rounds? (b) If \(k\) of the \(n\) records are \(0\), find the posterior odds for \(\ket0\). (c) How many records, with all zeros, give posterior probability above \(0.99\)?
Hint 1
\(M_j\) is diagonal, so it maps \(\ket0\) and \(\ket1\) to multiples of themselves.
Hint 2
Each record \(0\) multiplies the odds by \(3\), each record \(1\) by \(\frac13\).
Worked solution
(a) The branch operators are diagonal, so \(\ket0\) and \(\ket1\) are left unchanged up to normalization: repeated rounds give independent noisy readings of the same value. (b) A record \(0\) has likelihood ratio \(\frac{3/4}{1/4}=3\) in favor of \(\ket0\), and a record \(1\) has ratio \(\frac13\). The posterior odds are \(3^k\cdot3^{-(n-k)}=3^{2k-n}\). (c) With all zeros the odds are \(3^n\), and probability above \(0.99\) needs \(3^n>99\), so \(n=5\) (\(3^5=243\)). A weak measurement repeated on an undisturbed basis state accumulates into a sharp one.
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7. Worked problem §
Use the trine measurement \(E_k=\frac23\ket{\psi_k}\bra{\psi_k}\) to identify which of the three trine states \(\ket{\psi_0},\ket{\psi_1},\ket{\psi_2}\) was prepared, each with probability \(\frac13\), guessing \(j\) on outcome \(j\). (a) Compute \(p(k\mid j)\). (b) Find the success probability. (c) Compare with guessing without measuring.
Hint 1
\(|\braket{\psi_k}{\psi_j}|^2=\cos^2(120^\circ)=\frac14\) for \(k\neq j\).
Hint 2
\(p(k\mid j)=\frac23|\braket{\psi_k}{\psi_j}|^2\).
Worked solution
(a) \(p(j\mid j)=\frac23\) and \(p(k\mid j)=\frac23\cdot\frac14=\frac16\) for \(k\neq j\); the three probabilities add to \(1\). (b) The success probability is \(\frac23\). (c) Guessing blindly succeeds with \(\frac13\). The three states are pairwise nonorthogonal, so no measurement identifies them perfectly, and a two-outcome projective measurement cannot even produce three different answers. The three-outcome POVM is the natural tool, and \(\frac23\) is known to be optimal for this ensemble.
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8. Misconception §
A student says: “A weak measurement, one that barely distinguishes \(\ket0\) from \(\ket1\), causes negligible disturbance, so it can be repeated freely.” Using the square-root instrument with \(q=0.9\), whose ignored outcome multiplies the coherence by \(2\sqrt{q(1-q)}=0.6\), find the coherence of \(\ket+\) after \(10\) unrecorded rounds. What happens to a later \(\pm\) test?
Hint 1
Each round multiplies the off-diagonal entry by \(0.6\).
Hint 2
\(p(+)=\frac12+\rho_{01}\) for a real coherence.
Worked solution
Starting from coherence \(\frac12\), ten rounds give \(\frac12(0.6)^{10}\approx0.003\). A later \(\pm\) test gives \(+\) with probability about \(0.503\), essentially a fair coin, compared with certainty before any measurement. Each round disturbs the state only partly, but the disturbance accumulates multiplicatively. “Weak” describes the information gained per round, not a guarantee of small disturbance over a sequence; the total information gained about \(Z\) grows with the number of rounds, and so does the loss of \(\pm\) coherence.
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9. Extension §
Construct an ancilla unitary that realizes the square-root instrument for \(E_0=\mathrm{diag}(\frac34,\frac14)\). (a) Define \(U\ket0\ket0=\ket0\big(\frac{\sqrt3}{2}\ket0+\frac12\ket1\big)\) and \(U\ket1\ket0=\ket1\big(\frac12\ket0+\frac{\sqrt3}{2}\ket1\big)\), and show that measuring the ancilla gives branch operators \(\sqrt{E_0}\) and \(\sqrt{E_1}\). (b) Check that \(U\) preserves the inner products of the two inputs. (c) Describe \(U\) as a pair of controlled rotations.
Hint 1
\(\bra0_E U\ket0_E=\mathrm{diag}(\frac{\sqrt3}{2},\frac12)\).
Hint 2
The two output states have different system labels, so they are orthogonal.
Worked solution
(a) Reading off the ancilla-\(0\) amplitudes gives \(M_0=\mathrm{diag}(\frac{\sqrt3}{2},\frac12)=\sqrt{E_0}\), and the ancilla-\(1\) amplitudes give \(M_1=\mathrm{diag}(\frac12,\frac{\sqrt3}{2})=\sqrt{E_1}\). (b) The two images have norm \(1\) and are orthogonal because their system labels differ, so the map preserves inner products on the subspace with ancilla \(\ket0\) and extends to a unitary on both qubits. (c) If the system is \(0\), rotate the ancilla so that it reads \(1\) with probability \(\frac14\); if the system is \(1\), rotate it so that it reads \(1\) with probability \(\frac34\). Every POVM can be realized this way: entangle with an ancilla, then measure the ancilla projectively.
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10. Extension §
The same POVM \(E_0=\mathrm{diag}(\frac34,\frac14)\) can be implemented by measuring \(Z\) sharply and then reporting the opposite result with probability \(\frac14\). (a) Check that this produces the same outcome probabilities for every input. (b) For input \(\ket+\) with the outcome ignored, compare the output state with that of the square-root instrument, and compute the later \(\pm\) test probability for each. (c) What does this show about specifying a measurement?
Hint 1
The relabelled procedure has effects \(\frac34P_0+\frac14P_1\) and \(\frac14P_0+\frac34P_1\).
Hint 2
After a sharp \(Z\) measurement, every branch is diagonal.
Worked solution
(a) Outcome \(0\) occurs with probability \(\frac34\) on \(\ket0\) and \(\frac14\) on \(\ket1\), so the effect is \(\frac34P_0+\frac14P_1=E_0\): the same POVM. (b) The relabelled procedure collapses the state first, so with the outcome ignored the output is \(I/2\) and \(p(+)=\frac12\). The square-root instrument leaves coherence \(\frac{\sqrt3}{4}\), giving \(p(+)=\frac12+\frac{\sqrt3}{4}\approx0.933\). (c) Two devices with identical outcome statistics can disturb the system very differently. A POVM fixes the probabilities; predicting what happens next requires the full instrument, the set of branch maps.
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