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Finite-mode light–matter models and detection statistics — Examples

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

None yet.

5 · Examples, experiments and counterexamples

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Vacuum Rabi oscillation

Physical scope

A conditional single-excitation calculation in the ideal closed Jaynes–Cummings two-level, one-mode rotating-wave model. It predicts periodic excitation transfer and revival within that model, not irreversible decay or continuum spontaneous emission. No measured oscillation or apparatus record is asserted.

Example

In the resonant Jaynes–Cummings model (ω0=ω), prepare the atom and field in ∣e,0⟩ and let the ideal model evolve for time τ≥0. The assigned excited-state PVM then gives excitation probability cos⁡2(gτ). If g≠0, the population returns to one at τ=kπ/∣g∣, k∈N0; if g=0, it remains one. This is a periodic model prediction, not irreversible spontaneous decay or a reported observation.

Facts & Assumptions

Given: Resonance ω0=ω>0, real g, ℏ>0, time τ≥0, initial state ∣e,0⟩, and the closed Jaynes–Cummings model.

[A1]

The adopted single-mode, two-level rotating-wave model and its AC/CC assumptions are those of Jaynes–Cummings invariant blocks and Rabi frequency; no continuum bath or experiment is included.

[A2]

Assume AC and ACω as mathematical premises carried by the model and Fock-domain suppliers. Adopt the isolated autonomous dynamics postulate P4 for the self-adjoint Hamiltonian supplied by the Jaynes–Cummings theorem; this is a model assumption, not an empirical claim (The Axiom of Choice, The Axiom of Countable Choice (ACω), Autonomous dynamics postulate P4: self-adjoint generators and unitary evolution, Assigned energy observable, unitary flow and the two pictures of autonomous evolution).

[F1]

On resonance, the invariant block K0=span⁡{∣e,0⟩,∣g,1⟩} has matrix H0=ℏω2I+ℏgσx in that ordered orthonormal basis, where σx=(0110) (Jaynes–Cummings invariant blocks and Rabi frequency).

[F2]

For the self-adjoint assigned energy HJC, P4 defines the model evolution on all states by U(τ)=exp⁡(−iτHJC/ℏ) through its spectral calculus (Autonomous dynamics postulate P4: self-adjoint generators and unitary evolution, Assigned energy observable, unitary flow and the two pictures of autonomous evolution).

[F3]

For the excited-state projection Pe=∣e⟩⟨e∣⊗I, the assigned probability of its outcome in a unit state ψ is ∥Peψ∥2 (Declared ideal measurements and instruments of the framework).

Proof

1.1F1algebra

Define ∣+⟩=(∣e,0⟩+∣g,1⟩)/2 and ∣−⟩=(∣e,0⟩−∣g,1⟩)/2. The block matrix in [F1] gives HJC∣+⟩=ℏ(ω/2+g)∣+⟩ and HJC∣−⟩=ℏ(ω/2−g)∣−⟩. Thus these orthonormal vectors are global eigenvectors of the self-adjoint Hamiltonian, including when g=0.

2.1A2F2step 1.1algebra

Since ∣e,0⟩=(∣+⟩+∣−⟩)/2, P4 [F2] evolves it to e−iωτ/2(cos⁡(gτ)∣e,0⟩−isin⁡(gτ)∣g,1⟩) by applying the spectral exponential to the two eigenvectors from step 1.1.

3.1A1F3step 2.1algebra∎

The vectors ∣e,0⟩ and ∣g,1⟩ are orthogonal, so the squared norm of the excited projection of the state in step 2.1 is cos⁡2(gτ). The PVM rule [F3] makes this the assigned excited-state probability. If g≠0, it returns to one at τ=kπ/∣g∣ for k∈N0; if g=0, it stays one for every τ. This periodicity is a model deduction, not irreversible decay or an experimental observation.

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Ideal single-mode factorial moment

Physical scope

An ideal one-quantum Fock-state calculation of a single-mode normal-ordered factorial statistic and its passive beam-splitter count distribution. This is a conditional finite-mode model prediction, not a detector observation or experimental antibunching dataset.

Example

For the one-mode number state ∣1⟩ and the ideal number-count model, the mean number is ⟨a∗a⟩=1 while the normally ordered second factorial moment is ⟨a∗a∗aa⟩=0, so the assigned g(2)(0) statistic is zero. If the input ∣1,0⟩ is mixed with vacuum at the declared passive beam splitter, its output has exactly one total count, split between the two ports with probabilities η and 1−η. These are model predictions only; no detector realization or experimental antibunching record is asserted.

Facts & Assumptions

Given: The number state ∣1⟩, the ideal single-mode count PVM, the vacuum state in the unused port, a passive two-mode unitary with 0≤η≤1, and the assigned finite-mode model.

[A1]

The finite-mode postulate supplies an ideal number-count PVM but makes no claim about a laboratory detector or a measured count record (Finite-mode dipole and detector assignment).

[A2]

Assume AC and ACω as mathematical prerequisites of the finite-mode passive implementer and Fock suppliers; these are set-theoretic assumptions, not physical postulates (The Axiom of Choice, The Axiom of Countable Choice (ACω)).

[F1]

For the declared number distribution, g(2)(0)=∑nn(n−1)pn/(∑nnpn)2 when the denominator is finite and positive (Ideal single-mode normally ordered second factorial statistic).

[F2]

The ladder actions give a∣1⟩=∣0⟩, a∣0⟩=0, a∗a∣1⟩=∣1⟩, and ∣1⟩,∣0⟩ are orthonormal (Fixed-mode number law).

[F3]

A one-quantum input and vacuum at the second port have joint output state t∣1,0⟩+r∣0,1⟩ and ideal count probabilities ∣t∣2=η, ∣r∣2=1−η (Passive beam-splitter photon statistics).

[F4]

Ideal number-count effects are PVM projections with probabilities given by the Born rule; they do not imply a physical device or recorded data (Declared ideal measurements and instruments of the framework).

Proof

1.1A2F2algebra

Since a∣1⟩=∣0⟩ and a∣0⟩=0 by [F2], a∗a∣1⟩=∣1⟩ and a∗a∗aa∣1⟩=0. Thus the denominator mean number is one and the numerator is zero.

2.1F1step 1.1algebra

Substituting these moments into the definition [F1] gives g(2)(0)=0 for this model state. This is a conditional number-statistic calculation, not an observation.

3.1A1A2F3F4algebra∎

With one input quantum and vacuum in the other port, the beam-splitter theorem [F3] gives output t∣1,0⟩+r∣0,1⟩. The PVM events (1,0) and (0,1) are orthogonal and have probabilities η and 1−η by [F4]; the joint event with a count in each port has probability zero. The total output count is exactly one in this assigned model [A1].

Sources