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Fidelity is symmetric in its arguments, i.e. F (ρ,σ) = F (σ,ρ). Note that this is not obvious from the original definition. F (ρ,σ) lies in [0,1], by the Cauchy–Schwarz inequality. F (ρ,σ) = 1 if and only if ρ = σ, since Ψ ρ = Ψ σ implies ρ = σ. So we can see that fidelity behaves almost like a metric.
The formula also holds without taking the real part , because the imaginary part leads to an antisymmetric contribution that disappears under the sum. Note that all eigenvalues λ k {\displaystyle \lambda _{k}} and eigenvectors | k {\displaystyle \vert k\rangle } of the density matrix potentially depend on the vector of parameters θ ...
LLN – law of large numbers. ln – natural logarithm, log e. lnp1 – natural logarithm plus 1 function. ln1p – natural logarithm plus 1 function. log – logarithm. (If without a subscript, this may mean either log 10 or log e.) logh – natural logarithm, log e. [6] LST – language of set theory. lub – least upper bound. [1] (Also ...
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the rate of change of quantity X [10] x represents a realized value of a random variable; an unknown variable, most often (but not always) from the set of real numbers, while a complex unknown would rather be called z, and an integer by a letter like m from the middle of the alphabet
Greek letters are used in mathematics, science, engineering, and other areas where mathematical notation is used as symbols for constants, special functions, and also conventionally for variables representing certain quantities. In these contexts, the capital letters and the small letters represent distinct and unrelated entities.
For example, determining the volume of a sphere requires a significant amount of integral calculus or its geometrical analogue, the method of exhaustion. [3] However, having done this once in terms of some parameter (the radius for example), mathematicians have produced a formula to describe the volume of a sphere in terms of its radius:
Fidelity is therefore a measure of the realism of a model or simulation. [4] Simulation fidelity has also been described in the past as "degree of similarity". [5] In quantum mechanics and optics, [6] the fidelity of a field is calculated as an overlap integral of the field of interest with a reference or target field.