Name
Abstract | ||
|---|---|---|
We introduce a framework suitable for describing pattern recognition task using the mathematical language of density matrices. In particular, we provide a one-to-one correspondence between patterns and pure density operators. This correspondence enables us to: i) represent the Nearest Mean Classifier (NMC) in terms of quantum objects, ii) introduce a Quantum Classifier (QC). By comparing the QC with the NMC on different 2D datasets, we show the first classifier can provide additional information that are particularly beneficial on a classical computer with respect to the second classi?er. |
Year | Venue | DocType |
|---|---|---|
2016 | CoRR | Journal |
Volume | Citations | PageRank |
abs/1603.00173 | 0 | 0.34 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe Sergioli | 1 | 23 | 11.03 |
| Enrica Santucci | 2 | 18 | 3.04 |
| Luca Didaci | 3 | 299 | 19.29 |
| Jaroslaw Adam Miszczak | 4 | 9 | 9.43 |
| Roberto Giuntini | 5 | 118 | 26.43 |