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Entanglement Theory Quantum Correlations
On the consistency of the quantum-like representation algorithm for hyperbolic interference
arXiv
Authors: Peter Nyman
Year
2010
Paper ID
11351
Status
Preprint
Abstract Read
~2 min
Abstract Words
181
Citations
N/A
Abstract
Recently quantum-like representation algorithm (QLRA) was introduced by A. Khrennikov [20]--[28] to solve the so-called "inverse Born's rule problem": to construct a representation of probabilistic data by a complex or more general (in particular, hyperbolic) probability amplitude which matches Born's rule or its generalizations. The outcome from QLRA is coupled to the formula of total probability with an additional term corresponding to trigonometric, hyperbolic or hyper-trigonometric interference. The consistency of QLRA for probabilistic data corresponding to trigonometric interference was recently proved [29]. We now complete the proof of the consistency of QLRA to cover hyperbolic interference as well. We will also discuss hyper trigonometric interference. The problem of consistency of QLRA arises, because formally the output of QLRA depends on the order of conditioning. For two observables (e.g., physical or biological) a and b, b|a- and a|b- conditional probabilities produce two representations, say in Hilbert spaces H^{b| a} and H^{a|b} (in this paper over the hyperbolic algebra). We prove that under "natural assumptions" these two representations are unitary equivalent (in the sense of hyperbolic Hilbert space).
Why This Paper Matters
- This paper contributes to the Entanglement Theory & Quantum Correlations research area in the Quantum Articles archive.
- It adds a 2010 reference point for readers tracking recent quantum research.
- Recently quantum-like representation algorithm (QLRA) was introduced by A.
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