When we average N independent classical measurements, the central limit theorem shrinks the
standard deviation of the mean by 1/N. The quantum version of this rule is the standard
quantum limit (SQL), and it sets the precision floor for any sensing protocol that uses Nindependent (unentangled) probes. This lesson derives the 1/N scaling from the Ramsey
phase probe.
A single Ramsey probe
The workhorse is the Ramsey sequence on one qubit. Sandwiching the phase gate between two
Hadamards gives the state just before measurement, and a direct computation yields the
outcome probabilities
p1(θ)=21−cosθ,p0(θ)=21+cosθ.
The signal — the quantity that carries information about θ — is the probability p1. Its
slope with respect to θ,
∂θ∂p1=2sinθ,
is largest near θ=π/2 and vanishes at θ=0,π, where the probe is least
sensitive.
Error propagation
Each shot is a Bernoulli trial with success probability p1. After N shots the estimated
probability p^1 has binomial variance
(Δp^1)2=Np1(1−p1).
We do not want p1, we want θ. Propagating the uncertainty through the relation
θ(p^1) gives
(Δθ)2=(∂p1/∂θ)2(Δp^1)2=N(sinθ/2)2p1(1−p1).
Substituting p1=(1−cosθ)/2 so that p1(1−p1)=41sin2θ, the
sin2θ factors cancel exactly:
(Δθ)2=N41sin2θ41sin2θ=N1⟹ΔθSQL=N1
This is the standard quantum limit: with N independent probes the phase uncertainty falls as
1/N, and — remarkably — the SQL is achieved at every working point θ, not only
the most sensitive one.
Reading the limit off a histogram
On the simulator we cannot run N→∞ shots, but we can verify the per-shot statistics
that the SQL is built on. For θ=π/3,
p1=21−cos(π/3)=21−21=41,
so a single probe yields outcome 1 with probability 0.25 and outcome 0 with probability 0.75.
Repeating it N times and inverting p1(θ) is exactly the procedure whose error scales as
1/N.
Try it
Build the single-qubit Ramsey probe with θ=π/3 and measure. The grader checks the exact
analytic distribution: 0.75 for outcome 0 and 0.25 for outcome 1.
Run your code to see the quantum state.
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