Title | Quantum Neural Networks and Topological Quantum Field Theories |
Author | |
Corresponding Author | Fabrocini,Filippo |
Publication Years | 2022-09-01
|
DOI | |
Source Title | |
ISSN | 0893-6080
|
EISSN | 1879-2782
|
Volume | 153Pages:164-178 |
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. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
|
SUSTech Authorship | Others
|
Funding Project | National Natural Science Foundation of China[11875113];National Natural Science Foundation of China[12050410244];Fudan University[JJH1512105];Eesti Teadusagentuur[MOBJD679];Xi’an Jiaotong-Liverpool University[REF-18-02-03];
|
WOS Research Area | Computer Science
; Neurosciences & Neurology
|
WOS Subject | Computer Science, Artificial Intelligence
; Neurosciences
|
WOS Accession No | WOS:000822992800008
|
Publisher | |
EI Accession Number | 20222612295187
|
EI Keywords | Quantum theory
; Topology
|
ESI Classification Code | Artificial Intelligence:723.4
; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4
; Quantum Theory; Quantum Mechanics:931.4
|
ESI Research Field | COMPUTER SCIENCE
|
Scopus EID | 2-s2.0-85132938862
|
Data Source | Scopus
|
Citation statistics |
Cited Times [WOS]:2
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/352466 |
Department | Department of Mechanics and Aerospace Engineering |
Affiliation | 1.Center for Field Theory and Particle Physics & Department of Physics,Fudan University,Shanghai,Jingwan campus, Jingsan Rd,200433,China 2.Laboratori Nazionali di Frascati INFN,Frascati (Rome),Via Enrico Fermi, 54,00044,Italy 3.College of Design and Innovation,Tongji University,Shanghai,281 Fuxin Rd,200092,China 4.Institute for Computing Applications ”Mario Picone”,Italy National Research Council,Rome,Via dei Taurini, 19,00185,Italy 5.Allen Discovery Center,Tufts University,Medford,200 College Avenue,02155,United States 6.Department of Chemical and Pharmaceutical Sciences,University of Trieste,Trieste,Via Giorgieri, 1,34127,Italy 7.Department of Physics,Xi'an Jiaotong-Liverpool University,Suzhou,111 Ren'ai Rd,215123,China 8.Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,Shenzhen,1088 Xueyuan Avenue,518055,China 9.Yale School of Medicine,Yale University,New HavenCT,06510,United States |
Recommended Citation GB/T 7714 |
Marcianò,Antonino,Chen,Deen,Fabrocini,Filippo,et al. Quantum Neural Networks and Topological Quantum Field Theories[J]. NEURAL NETWORKS,2022,153:164-178.
|
APA |
Marcianò,Antonino.,Chen,Deen.,Fabrocini,Filippo.,Fields,Chris.,Greco,Enrico.,...&Zappala,Emanuele.(2022).Quantum Neural Networks and Topological Quantum Field Theories.NEURAL NETWORKS,153,164-178.
|
MLA |
Marcianò,Antonino,et al."Quantum Neural Networks and Topological Quantum Field Theories".NEURAL NETWORKS 153(2022):164-178.
|
Files in This Item: | There are no files associated with this item. |
|
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment