An expert survey presenting GPTs as generalized probability theory through Foulis-Randall test spaces and their linearized ordered-vector-space form.
Informational derivation of Quantum Theory
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abstract
Quantum theory can be derived from purely informational principles. Five elementary axioms-causality, perfect distinguishability, ideal compression, local distinguishability, and pure conditioning-define a broad class of theories of information-processing that can be regarded as a standard. One postulate-purification-singles out quantum theory within this class. The main structures of quantum theory, such as the representation of mixed states as convex combinations of perfectly distinguishable pure states, are derived directly from the principles without using the Hilbert space framework.
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Generalized Probability Theory: notes for a short course
An expert survey presenting GPTs as generalized probability theory through Foulis-Randall test spaces and their linearized ordered-vector-space form.