Case-Based Reasoning (CBR) is an artificial intelligence approach toproblem-solving with a good record of success . This article proposes usingQuantum Computing to improve some of the key processes of CBR defining so aQuantum Case-based Reasoning paradigm . The focus is set on designing and implementing a qCBR based on the variational principle that improves itsclassical counterpart in terms of average accuracy, scalability and toleranceto overlapping . The algorithm’s quantumfeasibility is modelled with docplex and tested on IBMQ computers, and .experimented on the Qibo framework .

Author(s) : Parfait Atchade-Adelomou, Daniel Casado-Fauli, Elisabet Golobardes-Ribe, Xavier Vilasis-Cardona

Links : PDF - Abstract

Code :
Coursera

Keywords : based - reasoning - case - cbr - qcbr -

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