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Currently only observables that are squares of Majoranas are supported in expect(). But generally, it is possible to calculate $⟨ψ|O|ψ⟩$ for arbitrary operators $O$ of the form $O = ∏_i L_i = ∏_i (∑_j O_{ij} γ_j)$ by calculating the pfaffian of the two-point matrix $M_{ij} = ⟨ψ|L_i L_j|ψ⟩$.
The text was updated successfully, but these errors were encountered:
By linearity of the expectation value this means arbitrary observables can be computed, as long as they are expressed as sums of Majorana-strings. But if the observables are given in above form the computation is much more efficient, so the question will be how to best decompose an arbitrary observable
Currently only observables that are squares of Majoranas are supported in$⟨ψ|O|ψ⟩$ for arbitrary operators $O$ of the form $O = ∏_i L_i = ∏_i (∑_j O_{ij} γ_j)$ by calculating the pfaffian of the two-point matrix $M_{ij} = ⟨ψ|L_i L_j|ψ⟩$ .
expect()
. But generally, it is possible to calculateThe text was updated successfully, but these errors were encountered: