Background
Inspired by this video I'd like to ask the following question:
I'm not an expert at QED or optics. But this is my $2$ cents on the problem: "Do we see the light or the object?"
Problem statement: Given I "see" the light of an object can I infer the existence of the "source"?
My take: What one "sees" is an eigenvalue linked to that of a photon. In fact, one sees is a stream of photons at different times (but as time is not an observable but a parameter it should not affect the thrust of the argument). With each eigenvalue one can determine there is some "source" (the word source seems to imply it's spatially confined and uniqueness of hamiltonian producing these photons). Now I know of no theoretical limits on having multiple sources to produce the same set of eigenvalues measured (though there would be some non-zero probability of one measurement of being the same in both cases).
Thus I conclude due to existence of these cases one cannot conclude the uniqueness of the source.
I think it becomes a question of conditional probability as what is the probability I deduce a Hamiltonian (assuming uniform probability of each Hamiltonian) given I measure an eigenvalue at $t_1$. Note. This becomes harder when one says what is the probability of it being the same a Hamiltonian at time $t_2 > t_1$. The question then becomes can one construct a non-zero (conditional) probability in this situation .
The (incomplete) math/ My attempt
This is an incomplete answer but let's restrict ourselves to energy eigenvalues and same dimensions Hamiltonian. If one uses a different observable then another layer of proabability would be added. We wont even mention time evolution or multiple measurements. Now:
From the spectral theorem I can reconstruct a particular Hamiltonian, see:
$$ \sum_{i} \lambda_i |\lambda_i \rangle \langle \lambda_i| = H_{\lambda} $$
Where $\lambda_j$ is part of $\lambda_i$ summation. However, given I only have a Hamiltonian it can also be part of a different Hamiltonian:
$$ \sum_{i} \beta_i |\beta_i \rangle \langle \beta_i| = H_{\beta} $$
where $\beta_k$ is part of $\beta_i$ summation. We add, $\beta_k = \lambda_j$. Now, let us use matrices
$$ \begin{pmatrix} |\lambda_1 \rangle \langle \lambda_1| & |\lambda_2 \rangle \langle \lambda_2| & \dots \\ |\beta_1 \rangle \langle \beta_1| & |\beta_2 \rangle \langle \beta_2| & \dots \\ \vdots & \vdots \end{pmatrix} \begin{pmatrix} \lambda_1 & \beta_1 & \dots \\ \lambda_2 & \beta_2 & \dots \\ \vdots & \vdots \end{pmatrix} = \begin{pmatrix} H_{\alpha} & ? & \dots\\ ? & H_{\beta} & \dots \\ \vdots & \vdots \end{pmatrix} $$
We multiply a $S$ and $S^{-1}$ such that: $$ S \begin{pmatrix} |\lambda_1 \rangle \langle \lambda_1| & |\lambda_2 \rangle \langle \lambda_2| & \dots \\ |\beta_1 \rangle \langle \beta_1| & |\beta_2 \rangle \langle \beta_2| & \dots \\ \vdots & \vdots \end{pmatrix} \begin{pmatrix} \lambda_1 & \beta_1 & \dots \\ \lambda_2 & \beta_2 & \dots \\ \vdots & \vdots \end{pmatrix} S^{-1}= \begin{pmatrix} H_{\alpha} & 0 & \dots\\ 0 & H_{\beta} & \dots \\ \vdots & \vdots \end{pmatrix} $$
Now, to quantify probabilities. Let us take trace:
$$ \text{Tr} \begin{pmatrix} |\lambda_1 \rangle \langle \lambda_1| & |\lambda_2 \rangle \langle \lambda_2| & \dots \\ |\beta_1 \rangle \langle \beta_1| & |\beta_2 \rangle \langle \beta_2| & \dots \\ \vdots & \vdots \end{pmatrix} \begin{pmatrix} \lambda_1 & \beta_1 & \dots \\ \lambda_2 & \beta_2 & \dots \\ \vdots & \vdots \end{pmatrix} = H_\alpha + H_{\beta} + \dots $$
Hence,
$$H_\alpha + H_{\beta} + \dots = \dots+\lambda_j (| \lambda_j \rangle \langle \lambda_j | + |\beta_k \rangle \langle \beta_k | + \dots) + \dots$$
Given on measures $\lambda_j$ one can conclude the following $| \lambda_j \rangle \langle \lambda_j | + |\beta_k \rangle \langle \beta_k | + \dots$ becomes relevant. To quantify how relevant one has to use the Born rule.
Question
Can someone construct a toy model to prove or disprove my intuition? I think I must be wrong as I'm up against the founder of QED.