mlsanityData to 7 Oct 2026

quantum Case-Based Reasoning (qCBR)

arXiv 2104.00409 ↗First posted 1 Apr 2021cs.AI cs.ET cs.LGcited by 4

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Abstract (arXiv)

Case-Based Reasoning (CBR) is an artificial intelligence approach to problem-solving with a good record of success. This article proposes using Quantum Computing to improve some of the key processes of CBR, such that a Quantum Case-Based Reasoning (qCBR) paradigm can be defined. The focus is set on designing and implementing a qCBR based on the variational principle that improves its classical counterpart in terms of average accuracy, scalability and tolerance to overlapping. A comparative study of the proposed qCBR with a classic CBR is performed for the case of the Social Workers' Problem as a sample of a combinatorial optimization problem with overlapping. The algorithm's quantum feasibility is modelled with docplex and tested on IBMQ computers, and experimented on the Qibo framework.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 13 of its 92 references that are in the map. First posted on arXiv 1 Apr 2021.

Builds on

13 of 92 references.

References · 13

  1. 2018Supervised learning with quantum enhanced feature spacescited by 654
  2. 2016Quantum Machine Learningcited by 325
  3. 2019Efficient Learning for Deep Quantum Neural Networkscited by 160
  4. 2014A Tutorial on Principal Component Analysiscited by 139
  5. 2014word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding methodcited by 109
  6. 2014word2vec Parameter Learning Explainedcited by 53
  7. 2016An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generationcited by 48
  8. 2013Quantum support vector machine for big data classificationcited by 35
  9. 2019Support vector machines on the D-Wave quantum annealercited by 33
  10. 2020Qibo: a framework for quantum simulation with hardware accelerationcited by 10
  11. 2020Quantum machine learning and quantum biomimetics: A perspectivecited by 8
  12. 2013A Quantum Information Retrieval Approach to Memorycited by 1
1 more
  1. 2020Introductory review to quantum information retrievalcited by 1

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Cited by year

Citing papers per year: 2021: 1; 2022: 0; 2023: 3.

4 papers.

  1. 2021Quantum Enhanced Filter: QFiltercited by 3
  2. 2023Fourier series weight in quantum machine learningcited by 0
  3. 2023BRAIN L: A book recommender systemcited by 0
  4. 2023Quantum Machine Learning hyperparameter searchcited by 0