2018
DOI: 10.3390/sym10110656
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Neutrosophic Logic Based Quantum Computing

Abstract: We introduce refined concepts for neutrosophic quantum computing such as neutrosophic quantum states and transformation gates, neutrosophic Hadamard matrix, coherent and decoherent superposition states, entanglement and measurement notions based on neutrosophic quantum states. We also give some observations using these principles. We present a number of quantum computational matrix transformations based on neutrosophic logic and clarify quantum mechanical notions relying on neutrosophic states. The paper is in… Show more

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Cited by 7 publications
(5 citation statements)
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“…For example, the probability of landslides in "flat" areas is almost zero [34]. However, Yeşilnacar and Topal [108] with Çevik and Topal [109] stated that the landslides in the study area occurred equally in different slope orientations and emphasized that it is not an effective parameter in their studies. Aspect is measured clockwise towards north and takes positive values between 0 and 360 degrees.…”
Section: Aspect Classesmentioning
confidence: 88%
“…For example, the probability of landslides in "flat" areas is almost zero [34]. However, Yeşilnacar and Topal [108] with Çevik and Topal [109] stated that the landslides in the study area occurred equally in different slope orientations and emphasized that it is not an effective parameter in their studies. Aspect is measured clockwise towards north and takes positive values between 0 and 360 degrees.…”
Section: Aspect Classesmentioning
confidence: 88%
“…The neutrosophic logic is a context that provides combining many existing logics. The main idea of neutrosophic logic is to describe each proposition in a three dimensions of neutrosophic space as a degree of truth, indeterminacy, and falsity (Çevik et al 2018 ). For instance, the proposition “tomorrow it will be raining” is not a fixed-valued statement.…”
Section: Neutrosophic Setsmentioning
confidence: 99%
“…Elements of the sets have degrees of belongingness (in another word, membership) according to underlying sets. Atanassov defined intuitionistic fuzzy sets including belongingness and non-belongingness degrees [21,32,33,34]. Smarandache suggested Neutrosophy as a computational solution to the idea of neutrality [22].…”
Section: Figure 2 Subtypes Of Various Forms Of Validity Testsmentioning
confidence: 99%