Real #
Here we use the transpose rather than the complex conjugate transpose.
Equations
- ⋯ = ⋯
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Projection onto span ⟨e₁, e₂⟩ is indeed a star-projection. So we could form a PMF with two outcomes (e₁,e₂) vs. e₃.
A probability measure that gives the probability
of being in the xy-plane, or the z-axis,
for a given PSD trace-one matrix ρ.
See myPVM₂₃ below.
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Defining a Bernoulli probability measure by declaring that e_{acc} is the accepted subspace.
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The projection-valued measure corresponding to word
belong to the measure-once language of KOA 𝓚.
Equations
- PVM_of_word_of_channel acc h𝓚 word = PVM_of_state acc ⋯ ⋯
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A word is measure-once accepted if after processing it,
the probability of being in state 1 : Fin 2, is greater than 1/2.
Measure-Once language accepted by 𝓚 is
{word | Probability that we are in state e₃, and not in the span of e₁,e₂, > 1/2}.
q = 2 because we haven't generalized myPVM₂₃ yet
Equations
- MOlanguageAcceptedBy₃ 𝓚 h𝓚 = MOlanguageAcceptedBy 2 h𝓚