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Quantum logic
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=== Quantum probability measures === {{Main|Gleason's theorem|Quantum statistical mechanics}} A ''quantum probability measure'' is a function P defined on ''Q'' with values in [0,1] such that P("β₯)=0, P(β€)=1 and if {''E''<sub>''i''</sub>}<sub>''i''</sub> is a sequence of pairwise-orthogonal elements of ''Q'' then : <math> \operatorname{P}\!\left(\bigvee_{i=1}^\infty E_i\right) = \sum_{i=1}^\infty \operatorname{P}(E_i). </math> Every quantum probability measure on the closed subspaces of a Hilbert space is induced by a [[density matrix]] — a [[Positive operator|nonnegative operator]] of [[trace (linear algebra)#Generalizations|trace]] 1. Formally, : '''Theorem'''.<ref>[[Andrew Gleason|A. Gleason]], "Measures on the Closed Subspaces of a Hilbert Space", ''Indiana University Mathematics Journal'', vol. 6, no. 4, 1957. pp. 885-893. DOI: [http://dx.doi.org/10.1512/iumj.1957.6.56050 10.1512/iumj.1957.6.56050]. Reprinted in ''The Logico-Algebraic Approach to Quantum Mechanics'', University of Western Ontario Series in Philosophy of Science 5a, ed. C. A. Hooker; D. Riedel, c. 1975-1979. pp. 123-133.</ref> Suppose ''Q'' is the lattice of closed subspaces of a separable Hilbert space of complex dimension at least 3. Then for any quantum probability measure ''P'' on ''Q'' there exists a unique [[trace class]] operator ''S'' such that <math display=block>\operatorname{P}(E) = \operatorname{Tr}(S E)</math> for any self-adjoint projection ''E'' in ''Q''.
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