Version 1
: Received: 13 December 2021 / Approved: 14 December 2021 / Online: 14 December 2021 (14:20:42 CET)
How to cite:
Moret-Bonillo, V.; Magaz-Romero, S.; Mosqueira-Rey, E. Quantum Computing for Dealing with Inaccurate Knowledge using the Certainty Factors Model. Preprints2021, 2021120240. https://doi.org/10.20944/preprints202112.0240.v1
Moret-Bonillo, V.; Magaz-Romero, S.; Mosqueira-Rey, E. Quantum Computing for Dealing with Inaccurate Knowledge using the Certainty Factors Model. Preprints 2021, 2021120240. https://doi.org/10.20944/preprints202112.0240.v1
Moret-Bonillo, V.; Magaz-Romero, S.; Mosqueira-Rey, E. Quantum Computing for Dealing with Inaccurate Knowledge using the Certainty Factors Model. Preprints2021, 2021120240. https://doi.org/10.20944/preprints202112.0240.v1
APA Style
Moret-Bonillo, V., Magaz-Romero, S., & Mosqueira-Rey, E. (2021). Quantum Computing for Dealing with Inaccurate Knowledge using the Certainty Factors Model. Preprints. https://doi.org/10.20944/preprints202112.0240.v1
Chicago/Turabian Style
Moret-Bonillo, V., Samuel Magaz-Romero and Eduardo Mosqueira-Rey. 2021 "Quantum Computing for Dealing with Inaccurate Knowledge using the Certainty Factors Model" Preprints. https://doi.org/10.20944/preprints202112.0240.v1
Abstract
In this paper we try to demonstrate that the classical model of certainty factos for dealing with innacurate knowledge can be efficiently implemented in a quantum environment. For this, we assume that certainty factors are strongly correlated with the quantum probability. We first explore the certainty factors approach for inexact reasoning from a classical point of view. Next, we introduce some basic aspects of quantum computing, and we pay special attention to quantum rule-based systems. We then build a use case: an inferential network to be implemented in both, the classical approach and the corresponding quantum circuit. Both implementations have been used to compare the behavior of the classical and the quantum approaches when confronted with the same hypothetical case. We analyze three different situations: (1) Only Imprecision (which refers to inaccuracy in declarative knowledge or facts) is present in the use case, (2) Only Uncertainty (which refers to inaccuracy in procedural knowledge or rules) is present in the use case, and (3) Both Imprecision and Uncertainty are present in the use case. Finally, we analyze the results to reach a conclusion about the eventually intrinsic probabilistic nature of the certainty factors model and to pave the way for future quantum implementations of this method for handling inaccurate knowledge.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
