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A weak value is a conditional response coefficient obtained from a weak measurement followed by postselection. For a preselected pure state ∣ψi⟩\lvert\psi_i\rangle, a later postselected pure state ∣ψf⟩\lvert\psi_f\rangle, and an observable AA, the standard weak value is

Aw=⟨ψf∣A∣ψi⟩⟨ψf∣ψi⟩,⟨ψf∣ψi⟩≠0.A_w = \frac{ \langle\psi_f|A|\psi_i\rangle }{ \langle\psi_f|\psi_i\rangle }, \qquad \langle\psi_f|\psi_i\rangle\ne0.

This expression is simple enough to invite overinterpretation. Operationally, AwA_w is not a single-shot detector reading and not usually an eigenvalue. It is the complex coefficient that controls the first-order response of a weak pointer in the subensemble that passes the final selection.

The useful slogan is:

weak value=transition-amplitude ratio=postselected weak-response coefficient.\text{weak value} \quad=\quad \text{transition-amplitude ratio} \quad=\quad \text{postselected weak-response coefficient}.

Helpful background. Weak measurements explains small coupling and accumulated backaction. The derivation below uses the von Neumann pointer model.

A weak-value experiment has three ingredients:

  1. prepare an initial ensemble in ∣ψi⟩\lvert\psi_i\rangle;
  2. weakly couple the system to a meter with a coupling weak enough for the chosen postselection;
  3. perform a later measurement and keep only runs with outcome ∣ψf⟩\lvert\psi_f\rangle.

The retained data set is not the original ensemble. It is a postselected subensemble with zeroth-order success probability

pf(0)=∣⟨ψf∣ψi⟩∣2.p_f^{(0)} = \lvert\langle\psi_f|\psi_i\rangle\rvert^2.

When this probability is small, the denominator of AwA_w is small and the weak value can become large. The same small denominator also means that the successful sample is rare and sensitive to higher-order effects, technical background, and statistical uncertainty.

Use the standard von Neumann meter. The system observable AA couples impulsively to a pointer coordinate QQ through its conjugate momentum PP:

Ug=exp⁡ ⁣(−iℏgA⊗P),[Q,P]=iℏ.U_g = \exp \!\left( -\frac{i}{\hbar}g A\otimes P \right), \qquad [Q,P]=i\hbar.

Let the initial pointer state be ∣ϕ⟩\lvert\phi\rangle, centered so that ⟨Q⟩ϕ=⟨P⟩ϕ=0\langle Q\rangle_\phi=\langle P\rangle_\phi=0. After the coupling and successful postselection, the unnormalized pointer state is

∣Φf⟩=⟨ψf∣Ug∣ψi⟩∣ϕ⟩.\lvert\Phi_f\rangle = \langle\psi_f|U_g|\psi_i\rangle \lvert\phi\rangle.

For weak coupling,

⟨ψf∣Ug∣ψi⟩=⟨ψf∣ψi⟩[1−igℏAwP+O(g2)].\langle\psi_f|U_g|\psi_i\rangle = \langle\psi_f|\psi_i\rangle \left[ 1 - \frac{i g}{\hbar} A_w P + O(g^2) \right].

More explicitly, the second-order term contains the weak value of A2A^2:

⟨ψf∣Ug∣ψi⟩=⟨ψf∣ψi⟩[1−igℏAwP−g22ℏ2(A2)wP2+O(g3)],\langle\psi_f|U_g|\psi_i\rangle = \langle\psi_f|\psi_i\rangle \left[ 1 - \frac{i g}{\hbar}A_w P - \frac{g^2}{2\hbar^2}(A^2)_w P^2 + O(g^3) \right],

where

(A2)w=⟨ψf∣A2∣ψi⟩⟨ψf∣ψi⟩.(A^2)_w = \frac{ \langle\psi_f|A^2|\psi_i\rangle }{ \langle\psi_f|\psi_i\rangle }.

These are expansions acting on a pointer with the needed finite momentum moments; they are not operator-norm expansions in the unbounded operator PP. The ratios after postselection must be controlled. For example, ∣gAw∣ΔP/ℏ≪1|g A_w|\Delta P/\hbar\ll1 keeps the first-order correction small, while g2∣(A2)w∣⟨P4⟩/ℏ2≪1g^2|(A^2)_w|\sqrt{\langle P^4\rangle}/\hbar^2\ll1 controls the next term. Still higher terms must also remain negligible.

For a real centered Gaussian pointer with no initial QQ-PP correlation, the first-order shifts are

Δ⟨Q⟩f=g Re⁡Aw,\Delta\langle Q\rangle_f = g\,\operatorname{Re} A_w,

and

Δ⟨P⟩f=2g(ΔP)2ℏIm⁡Aw.\Delta\langle P\rangle_f = \frac{2g(\Delta P)^2}{\hbar} \operatorname{Im} A_w.

The real part shifts the pointer position. The imaginary part changes the conjugate momentum distribution. For this centered pointer, however, the total postselection probability has no linear change, since that term is 2gIm⁡(Aw)⟨P⟩/ℏ=02g\operatorname{Im}(A_w)\langle P\rangle/\hbar=0. A nonzero initial position–momentum covariance adds 2gIm⁡(Aw)Cov⁡(Q,P)/ℏ2g\operatorname{Im}(A_w)\operatorname{Cov}(Q,P)/\hbar to the position shift (Jozsa, 2007).

The normalized postselected pointer mean is a conditional statistic:

⟨Q⟩f=⟨Φf∣Q∣Φf⟩⟨Φf∣Φf⟩.\langle Q\rangle_f = \frac{ \langle\Phi_f|Q|\Phi_f\rangle }{ \langle\Phi_f|\Phi_f\rangle }.

It is measured by averaging many successful trials. A single retained event does not display the weak value.

If

A=∑aa Πa,A=\sum_a a\,\Pi_a,

then

Aw=∑aa (Πa)w,(Πa)w=⟨ψf∣Πa∣ψi⟩⟨ψf∣ψi⟩.A_w = \sum_a a\,(\Pi_a)_w, \qquad (\Pi_a)_w = \frac{ \langle\psi_f|\Pi_a|\psi_i\rangle }{ \langle\psi_f|\psi_i\rangle }.

The quantities (Πa)w(\Pi_a)_w sum to one:

∑a(Πa)w=1.\sum_a(\Pi_a)_w=1.

They are not ordinary probabilities. They can be negative or complex, and they need not lie between 00 and 11. This is one way to see how AwA_w can lie outside the eigenvalue range of AA: the weak value is a weighted transition-amplitude ratio, not a convex average with positive weights.

Take A=σzA=\sigma_z, ∣ψi⟩=∣+x⟩|\psi_i\rangle=|+x\rangle, and ∣ψf⟩=∣+y⟩=(∣0⟩+i∣1⟩)/2|\psi_f\rangle=|+y\rangle=(|0\rangle+i|1\rangle)/\sqrt2. Then

Aw=1+i1−i=i,pf(0)=12.A_w=\frac{1+i}{1-i}=i, \qquad p_f^{(0)}=\frac12.

The centered Gaussian pointer has no first-order position displacement, but its momentum shifts by 2g(ΔP)2/ℏ2g(\Delta P)^2/\hbar. Measuring only position would miss this response. A Hermitian observable still has real projective outcomes: the complex ratio describes two aspects of a conditional pointer distribution.

Weak values reduce to familiar quantities in special cases.

If the preselected and postselected states are the same,

∣ψf⟩=∣ψi⟩,\lvert\psi_f\rangle=\lvert\psi_i\rangle,

then

Aw=⟨ψi∣A∣ψi⟩.A_w = \langle\psi_i|A|\psi_i\rangle.

If the postselected state is an eigenstate of AA,

A∣a⟩=a∣a⟩,⟨a∣ψi⟩≠0,A\lvert a\rangle=a\lvert a\rangle, \qquad \langle a|\psi_i\rangle\ne0,

and ∣ψf⟩=∣a⟩\lvert\psi_f\rangle=\lvert a\rangle, then

Aw=a.A_w=a.

Anomalous weak values therefore require a nontrivial relation among preparation, observable, and postselection. They are not produced merely by making a meter noisy.

Let

∣ψi⟩=∣+x⟩=∣+z⟩+∣−z⟩2,\lvert\psi_i\rangle = \lvert +x\rangle = \frac{ \lvert +z\rangle+\lvert -z\rangle }{\sqrt 2},

and choose the postselected state

∣ψf⟩=∣+z⟩−α∣−z⟩1+α2,0≤α<1.\lvert\psi_f\rangle = \frac{ \lvert +z\rangle-\alpha\lvert -z\rangle }{ \sqrt{1+\alpha^2} }, \qquad 0\le\alpha\lt1.

For A=σzA=\sigma_z,

⟨ψf∣ψi⟩=1−α2(1+α2),\langle\psi_f|\psi_i\rangle = \frac{1-\alpha} {\sqrt{2(1+\alpha^2)}},

while

⟨ψf∣σz∣ψi⟩=1+α2(1+α2).\langle\psi_f|\sigma_z|\psi_i\rangle = \frac{1+\alpha} {\sqrt{2(1+\alpha^2)}}.

Thus

(σz)w=1+α1−α.(\sigma_z)_w = \frac{1+\alpha}{1-\alpha}.

For α\alpha close to 11, this weak value is much larger than the eigenvalue range [−1,1][-1,1]. The same limit makes the postselection probability small:

pf(0)=(1−α)22(1+α2).p_f^{(0)} = \frac{(1-\alpha)^2} {2(1+\alpha^2)}.

The anomalous value and rare postselection arise from the same small overlap. An exact finite-coupling calculation shows why the first-order prediction cannot diverge in a fixed apparatus.

For a real Gaussian ϕ(q)∝e−q2/(4σ2)\phi(q)\propto e^{-q^2/(4\sigma^2)}, the successful pointer amplitude is

Φf(q)=ϕ(q−g)−αϕ(q+g)2(1+α2).\Phi_f(q)=\frac{\phi(q-g)-\alpha\phi(q+g)}{\sqrt{2(1+\alpha^2)}}.

The two packets overlap by S=e−g2/(2σ2)S=e^{-g^2/(2\sigma^2)}. Their cross term has zero first moment about the origin, giving

pf=1+α2−2αS2(1+α2),⟨Q⟩f=g(1−α2)1+α2−2αS.p_f=\frac{1+\alpha^2-2\alpha S}{2(1+\alpha^2)}, \qquad \langle Q\rangle_f= \frac{g(1-\alpha^2)}{1+\alpha^2-2\alpha S}.

For α=0.8\alpha=0.8, the formal weak value is 99. At g=0.02σg=0.02\sigma, the exact mean is about 0.1786σ0.1786\sigma, close to gAw=0.18σgA_w=0.18\sigma. At g=0.2σg=0.2\sigma, it is about 1.004σ1.004\sigma, far from 1.8σ1.8\sigma. At any fixed nonzero gg, taking α→1\alpha\to1 gives zero mean, not an infinite displacement. In that limit the successful distribution has an antisymmetric amplitude and the zero-coupling success probability vanishes; the limits do not commute.

The exact postselected pointer mean remains finite and returns to zero as alpha approaches one, while the first-order weak-value prediction rises beyond the plotted range.

For fixed g=0.1σg=0.1\sigma, the exact Gaussian-pointer mean bends away from gAwgA_w when the postselection is too nearly orthogonal. Small apparatus coupling alone does not ensure a valid expansion for a rare selected ensemble.

If the weak coupling occurs at an intermediate time tt between preparation at tit_i and postselection at tft_f, unitary evolution gives

Aw(t)=⟨ψf∣U(tf,t) A U(t,ti)∣ψi⟩⟨ψf∣U(tf,ti)∣ψi⟩.A_w(t) = \frac{ \langle\psi_f| U(t_f,t)\,A\,U(t,t_i) |\psi_i\rangle }{ \langle\psi_f| U(t_f,t_i) |\psi_i\rangle }.

This formula is often useful, but the notation should not be read as assigning an ordinary possessed value to the system at time tt. It is a conditional amplitude ratio for a particular preparation, dynamics, weak coupling, and final filter.

For a mixed initial state ρi\rho_i and a final postselection represented by an effect EfE_f, the common trace form is

Aw=Tr⁡(EfAρi)Tr⁡(Efρi),Tr⁡(Efρi)≠0.A_w = \frac{ \operatorname{Tr}(E_f A\rho_i) }{ \operatorname{Tr}(E_f\rho_i) }, \qquad \operatorname{Tr}(E_f\rho_i)\ne0.

This expression keeps the time ordering appropriate to a weak measurement of AA before the final effect EfE_f. Any evolution after the weak interaction is incorporated by propagating the final effect backward with its adjoint map. If the weak interaction itself includes other first-order disturbance, the standard formula need not describe the response. When the final system is simply discarded, the final effect is sufficient for the pointer statistics; its subsequent state update is irrelevant. The numerator is not just a classical conditional expectation.

In an experiment, one estimates weak values from many trials. Let NN be the number of prepared systems and let NfN_f be the number that pass postselection. Roughly,

Nf≈Npf,N_f\approx N p_f,

where pfp_f includes the effects of the weak measurement and technical imperfections. The uncertainty of the pointer mean scales with the number of successful runs, not with the number initially prepared:

δ⟨Q⟩f∼σQ,fNf.\delta\langle Q\rangle_f \sim \frac{\sigma_{Q,f}}{\sqrt{N_f}}.

Here σQ,f\sigma_{Q,f} is the standard deviation in the selected output distribution, which need not equal the initial pointer width. Independent finite-variance successful samples are assumed.

A large Re⁡Aw\operatorname{Re}A_w can amplify a pointer displacement in the retained ensemble, but it can simultaneously reduce NfN_f. Whether this improves a real measurement depends on the noise model: technical offsets, detector saturation, background counts, and imperfect postselection matter. Weak-value amplification is therefore a metrological technique with conditions, not a general way to beat quantum statistics.

Weak values have been important in discussions of measurement, contextuality, quantum paradoxes, and pre/postselected ensembles. Those discussions can be illuminating, but they should be separated from the basic measurement theory.

The settled technical statement is that weak values are experimentally accessible response coefficients under specified weak-coupling and postselection conditions. Stronger claims about what a quantum system “really had” between two measurements require an interpretation and should not be presented as automatic consequences of the formula.

For broader foundations context, see What These Experiments Do and Do Not Prove.

Show that if ∣ψf⟩=∣ψi⟩\lvert\psi_f\rangle=\lvert\psi_i\rangle, the weak value of AA is the ordinary expectation value of AA in the state ∣ψi⟩\lvert\psi_i\rangle.

Solution

Substitute ∣ψf⟩=∣ψi⟩\lvert\psi_f\rangle=\lvert\psi_i\rangle:

Aw=⟨ψi∣A∣ψi⟩⟨ψi∣ψi⟩.A_w = \frac{ \langle\psi_i|A|\psi_i\rangle }{ \langle\psi_i|\psi_i\rangle }.

For a normalized state, ⟨ψi∣ψi⟩=1\langle\psi_i|\psi_i\rangle=1, so

Aw=⟨ψi∣A∣ψi⟩.A_w=\langle\psi_i|A|\psi_i\rangle.

Let A∣a⟩=a∣a⟩A\lvert a\rangle=a\lvert a\rangle and let ∣ψf⟩=∣a⟩\lvert\psi_f\rangle=\lvert a\rangle. Assume ⟨a∣ψi⟩≠0\langle a|\psi_i\rangle\ne0. Show that Aw=aA_w=a.

Solution

Using ⟨a∣A=a⟨a∣\langle a|A=a\langle a| for Hermitian AA,

Aw=⟨a∣A∣ψi⟩⟨a∣ψi⟩=a⟨a∣ψi⟩⟨a∣ψi⟩=a.A_w = \frac{ \langle a|A|\psi_i\rangle }{ \langle a|\psi_i\rangle } = \frac{ a\langle a|\psi_i\rangle }{ \langle a|\psi_i\rangle } = a.

Keep the real Gaussian pointer and qubit preparation in the example above, with fixed g>0g>0 and σ>0\sigma>0. Vary only 0≤α≤10\le\alpha\le1. Find the postselection that maximizes the exact mean ⟨Q⟩f\langle Q\rangle_f, its success probability, and the selected position variance. What happens as g/σ→0g/\sigma\to0 along this optimum?

Solution

Write S=e−g2/(2σ2)S=e^{-g^2/(2\sigma^2)}, so 0<S<10<S<1. Differentiating the exact mean gives

d⟨Q⟩fdα=2g[S(1+α2)−2α](1+α2−2αS)2.\frac{d\langle Q\rangle_f}{d\alpha} =\frac{2g[S(1+\alpha^2)-2\alpha]}{(1+\alpha^2-2\alpha S)^2}.

The derivative changes from positive to negative at

α∗=S1+1−S2,max⁡0≤α≤1⟨Q⟩f=g1−S2,pf(α∗)=1−S22.\alpha_* = \frac{S}{1+\sqrt{1-S^2}}, \qquad \max_{0\le\alpha\le1}\langle Q\rangle_f =\frac{g}{\sqrt{1-S^2}}, \qquad p_f(\alpha_*)=\frac{1-S^2}{2}.

To check the width, the translated packets have second moment σ2+g2\sigma^2+g^2, while ∫q2ϕ(q−g)ϕ(q+g) dq=σ2S\int q^2\phi(q-g)\phi(q+g)\,dq=\sigma^2S. Hence

⟨Q2⟩f=σ2+g2(1+α2)1+α2−2αS.\langle Q^2\rangle_f =\sigma^2+\frac{g^2(1+\alpha^2)}{1+\alpha^2-2\alpha S}.

At the optimum, 2α∗/(1+α∗2)=S2\alpha_*/(1+\alpha_*^2)=S. Subtracting the squared mean then gives Var⁡fQ=σ2\operatorname{Var}_f Q=\sigma^2 exactly; this equality does not make the selected distribution Gaussian.

As g/σ→0g/\sigma\to0, the maximum mean approaches σ\sigma, while pf(α∗)∼g2/(2σ2)p_f(\alpha_*)\sim g^2/(2\sigma^2) vanishes. For NN independent preparations, estimating that mean from the selected trials requires Npf≫1Np_f\gg1, with standard error approximately σ/Npf\sigma/\sqrt{Np_f}. The finite mean in this joint limit describes an increasingly rare ensemble. It is neither a displacement at exactly zero coupling nor a universal bound for other pointer states or preparations.

Assume a centered real Gaussian pointer with no initial QQ-PP correlation. Starting from

∣Φf⟩∝(1−igℏAwP)∣ϕ⟩,\lvert\Phi_f\rangle \propto \left( 1 - \frac{i g}{\hbar}A_w P \right) \lvert\phi\rangle,

show that the first-order position shift is g Re⁡Awg\,\operatorname{Re}A_w.

Solution

Write Aw=a+ibA_w=a+ib. To first order in gg,

⟨Q⟩f=⟨Q⟩ϕ+igℏ(Aw∗⟨PQ⟩ϕ−Aw⟨QP⟩ϕ).\langle Q\rangle_f = \langle Q\rangle_\phi + \frac{i g}{\hbar} \left( A_w^*\langle P Q\rangle_\phi - A_w\langle QP\rangle_\phi \right).

For a centered real Gaussian with no QQ-PP correlation,

⟨Q⟩ϕ=0,⟨QP⟩ϕ=iℏ2,⟨PQ⟩ϕ=−iℏ2.\langle Q\rangle_\phi=0, \qquad \langle QP\rangle_\phi=\frac{i\hbar}{2}, \qquad \langle P Q\rangle_\phi=-\frac{i\hbar}{2}.

Substitution gives

⟨Q⟩f=ga=g Re⁡Aw.\langle Q\rangle_f = g a = g\,\operatorname{Re}A_w.
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