Quantum-inspired machine learning for 6g: fundamentals, security, resource allocations, challenges, and future research directions

HIGHLIGHTS

  • who: Trung Q. Duong Fellow and collaborators from the (UNIVERSITY) have published the research work: Quantum-inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and Future Research Directions, in the Journal: (JOURNAL)
  • what: The authors provide the overview of quantum-inspired ML algorithms and their applications to 6G networks. This work has extensively reviewed the emerging technologies over QC with ML, 6G technology, classical computers, and quantum ML algorithms. This study provides insights into QC with ML and offers substantial guidelines for the quantum developers and researchers of the next generation of quantum . . .

     

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