Over years, Fuzzy Logic established as a powerful tool for control systems as shown by the several applications both in the area of pure engineering and social, economical and political science. However, in spite of the success of fuzzy control systems, their design is originally affected by mainly two issues: the dependence on hardware and an expensive inference when the number of fuzzy variables is large. In 2016, the IEEE Std 1855 was released to address the first issue by introducing an XML-based language capable of modeling fuzzy systems in an abstract way independent from hardware. As for the second issue, recently, a quantum implementation of a fuzzy inference engine, denoted as QFIE, has been proposed to potentially provide an exponential computational advantage in the execution of fuzzy rules. This paper aims at integrating IEEE Std 1855 and QFIE to provide the fuzzy community with controllers transparent with respect to hardware and efficient in terms of fuzzy rule execution. This integration is achieved by introducing an IEEE Std 1855 driver capable of converting transparent fuzzy systems in controllers executable on quantum computers. As shown in a case study, this driver enables quantum implementation of a fuzzy system without knowledge of quantum hardware and technologies.

An IEEE Std 1855 Driver for Synthetizing Quantum Fuzzy Inference Engines / Acampora, G.; Vitiello, A.. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023 nel 2023) [10.1109/FUZZ52849.2023.10309738].

An IEEE Std 1855 Driver for Synthetizing Quantum Fuzzy Inference Engines

Acampora G.;Vitiello A.
2023

Abstract

Over years, Fuzzy Logic established as a powerful tool for control systems as shown by the several applications both in the area of pure engineering and social, economical and political science. However, in spite of the success of fuzzy control systems, their design is originally affected by mainly two issues: the dependence on hardware and an expensive inference when the number of fuzzy variables is large. In 2016, the IEEE Std 1855 was released to address the first issue by introducing an XML-based language capable of modeling fuzzy systems in an abstract way independent from hardware. As for the second issue, recently, a quantum implementation of a fuzzy inference engine, denoted as QFIE, has been proposed to potentially provide an exponential computational advantage in the execution of fuzzy rules. This paper aims at integrating IEEE Std 1855 and QFIE to provide the fuzzy community with controllers transparent with respect to hardware and efficient in terms of fuzzy rule execution. This integration is achieved by introducing an IEEE Std 1855 driver capable of converting transparent fuzzy systems in controllers executable on quantum computers. As shown in a case study, this driver enables quantum implementation of a fuzzy system without knowledge of quantum hardware and technologies.
2023
An IEEE Std 1855 Driver for Synthetizing Quantum Fuzzy Inference Engines / Acampora, G.; Vitiello, A.. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023 nel 2023) [10.1109/FUZZ52849.2023.10309738].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/985689
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