2004
DOI: 10.1080/09500340408233598
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Quantum information via state partitions and the context translation principle

Abstract: For many-particle systems, quantum information in base n can be defined by partitioning the set of states according to the outcomes of n-ary (joint) observables. Thereby, k particles can carry k nits. With regards to the randomness of single outcomes, a context translation principle is proposed. Quantum randomness is related to the uncontrollable degrees of freedom of the measurement interface, thereby translating a mismatch between the state prepared and the state measured.1 Information in many-particle quant… Show more

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Cited by 26 publications
(29 citation statements)
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“…"Forcing" a "measurement" of such states in a coherent superposition of "observables" results in a context translation [18]. This may introduce stochasticity due to the many (for all practical purposes [19]) uncontrollable degrees of freedom of the measurement device [20].…”
Section: Parallel Processing By Superpositionsmentioning
confidence: 99%
“…"Forcing" a "measurement" of such states in a coherent superposition of "observables" results in a context translation [18]. This may introduce stochasticity due to the many (for all practical purposes [19]) uncontrollable degrees of freedom of the measurement device [20].…”
Section: Parallel Processing By Superpositionsmentioning
confidence: 99%
“…Still other schemata [25] deny the existence of even this restricted set of contexts by maintaining that an n-ary quantum system is only capable of storing exactly one nit of quantum information. Thereby only a single context appears relevant; e.g., the context associated with the particular basis of n-dimensional Hilbert space in which this nit is encoded.…”
Section: Contextuality In Universal Quantum Networkmentioning
confidence: 99%
“…Suppose it is not unreasonable to speculate about the following three assumptions [51]: As strange as the first assumption may appear, it amounts to the everyday experience that no agent, deterministic or other, can be prepared to render answers to every conceivable question. A "silly" example for this feature would be the attempt of a person to enter the question "is there enough oil in the car's engine?"…”
Section: Principle Of Context Translationmentioning
confidence: 99%