On hyperbolic interferences in the quantum--like representation algorithm for the case of triple-valued observables
Peter Nyman

TL;DR
This paper explores hyperbolic interferences in quantum-like representations of probabilistic data, especially for triple-valued observables, extending the framework to Clifford algebras and identifying conditions for data to admit such representations.
Contribution
It introduces a class of statistical data satisfying nonlinear constraints that allow quantum-like representations with hyperbolic interferences for triple-valued observables.
Findings
Identifies conditions for data to have quantum-like representations
Extends the framework to Clifford algebra for hyperbolic numbers
Demonstrates representation for data from two trichotomous observables
Abstract
The quantum-like representation algorithm (QLRA) was introduced by A. Khrennikov \cite{K1,K2,K3,K4,K5} to solve the "inverse Born's rule problem", i.e. to construct a representation of probabilistic data - measured in any context of science - and represent this data by a complex or more general (A Clifford algebra is introduced for this more general representation) probability amplitude which matches a generalization of Born's rule. The outcome from QLRA will introduce the formula of total probability with an additional term of trigonometric, hyperbolic or hyper-trigonometric interference and this is in fact a generalization of the familiar formula of interference of probabilities. We study representation of statistical data (of any origin) by a probability amplitude in a complex algebra and a Clifford algebra (algebra of hyperbolic numbers). The statistical datas are collected from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
