Quantum Neural Networks and Topological Quantum Field Theories.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 35724478.
- Also identified by DOI 10.1016/j.neunet.2022.05.028.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Our work intends to show that: (1) Quantum Neural Networks (QNNs) can be mapped onto spin-networks, with the consequence that the level of analysis of their operation can be carried out on the side of Topological Quantum Field Theory (TQFT); (2) A number of Machine Learning (ML) key-concepts can be rephrased by using the terminology of TQFT. Our framework provides as well a working hypothesis for understanding the generalization behavior of DNNs, relating it to the topological features of the graph structures involved.
Medical subject headings
- Neural Networks, Computer
- Quantum Theory