Article ; Online: A von-Neumann-like photonic processor and its application in studying quantum signature of chaos.
2024 Volume 13, Issue 1, Page(s) 74
Abstract: Photonic quantum computation plays an important role and offers unique advantages. Two decades after the milestone work of Knill-Laflamme-Milburn, various architectures of photonic processors have been proposed, and quantum advantage over classical ... ...
| Abstract | Photonic quantum computation plays an important role and offers unique advantages. Two decades after the milestone work of Knill-Laflamme-Milburn, various architectures of photonic processors have been proposed, and quantum advantage over classical computers has also been demonstrated. It is now the opportune time to apply this technology to real-world applications. However, at current technology level, this aim is restricted by either programmability in bulk optics or loss in integrated optics for the existing architectures of processors, for which the resource cost is also a problem. Here we present a von-Neumann-like architecture based on temporal-mode encoding and looped structure on table, which is capable of multimode-universal programmability, resource-efficiency, phase-stability and software-scalability. In order to illustrate these merits, we execute two different programs with varying resource requirements on the same processor, to investigate quantum signature of chaos from two aspects: the signature behaviors exhibited in phase space (13 modes), and the Fermi golden rule which has not been experimentally studied in quantitative way before (26 modes). The maximal program contains an optical interferometer network with 1694 freely-adjustable phases. Considering current state-of-the-art, our architecture stands as the most promising candidate for real-world applications. |
|---|---|
| Language | English |
| Publishing date | 2024-03-14 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 2662628-7 |
| ISSN | 2047-7538 ; 2047-7538 |
| ISSN (online) | 2047-7538 |
| ISSN | 2047-7538 |
| DOI | 10.1038/s41377-024-01413-5 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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