日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

学術論文

Computer-Inspired Concept for High-Dimensional Multipartite Quantum Gates

MPS-Authors
There are no MPG-Authors in the publication available
External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)

PhysRevLett.125.050501.pdf
(全文テキスト(全般)), 835KB

付随資料 (公開)

2020_Computer-inspired.png
(付録資料), 26KB

引用

Gao, X., Erhard, M., Zeilinger, A., & Krenn, M. (2020). Computer-Inspired Concept for High-Dimensional Multipartite Quantum Gates. Physical Review Letters, 125(5):. doi:10.1103/PhysRevLett.125.050501.


引用: https://hdl.handle.net/21.11116/0000-0009-65B1-D
要旨
An open question in quantum optics is how to manipulate and control complex quantum states in an experimentally feasible way. Here we present concepts for transformations of high-dimensional multiphotonic quantum systems. The proposals rely on two new ideas: (i) a novel high-dimensional quantum nondemolition measurement, (ii) the encoding and decoding of the entire quantum transformation in an ancillary state for sharing the necessary quantum information between the involved parties. Many solutions can readily be performed in laboratories around the world and thereby we identify important pathways for experimental research in the near future. The concepts have been found using the computer algorithm MELVIN for designing computer-inspired quantum experiments. As opposed to the field of machine learning, here the human learns new scientific concepts by interpreting and analyzing the results presented by the machine. This demonstrates that computer algorithms can inspire new ideas in science, which has a widely unexplored potential that goes far beyond experimental quantum information science.