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Quantum Fuzzy Inference Engine for Particle Accelerator Control / Acampora, Giovanni (Naples U. ; INFN, Naples) ; Grossi, Michele (CERN) ; Schenk, Michael (CERN) ; Schiattarella, Roberto (Naples U. ; INFN, Naples)
Recently, quantum computing has been proven as an ideal theory for the design of fuzzy inference engines, thanks to its capability to efficiently solve the rule explosion problem. In this scenario, a quantum fuzzy inference engine (QFIE) was proposed as a quantum algorithm able to generate an exponential computational advantage over conventional fuzzy inference engines. [...]
2024 - 13 p. - Published in : IEEE Trans. Quantum Eng. 5 (2024) 1-13 Fulltext: PDF;

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