dc.contributor.author | Feldmann, J | |
dc.contributor.author | Stegmaier, M | |
dc.contributor.author | Gruhler, N | |
dc.contributor.author | Ríos, C | |
dc.contributor.author | Bhaskaran, H | |
dc.contributor.author | Wright, CD | |
dc.contributor.author | Pernice, WHP | |
dc.date.accessioned | 2017-11-16T14:15:31Z | |
dc.date.issued | 2017-11-02 | |
dc.description.abstract | Machines that simultaneously process and store multistate data at one and the same location can provide a new class of fast, powerful and efficient general-purpose computers. We demonstrate the central element of an all-optical calculator, a photonic abacus, which provides multistate compute-and-store operation by integrating functional phase-change materials with nanophotonic chips. With picosecond optical pulses we perform the fundamental arithmetic operations of addition, subtraction, multiplication, and division, including a carryover into multiple cells. This basic processing unit is embedded into a scalable phase-change photonic network and addressed optically through a two-pulse random access scheme. Our framework provides first steps towards light-based non-von Neumann arithmetic. | en_GB |
dc.description.sponsorship | The authors acknowledge support by Deutsche Forschungsgemeinschaft (DFG) grants PE 1832/2-1 and EPSRC grant EP/J018783/1. M.S. acknowledges support from the Karlsruhe School of Optics and Photonics (KSOP) and the Stiftung der Deutschen Wirtschaft (sdw). C.R. is grateful to JEOL UK and the Clarendon Fund for funding his graduate studies. H.B. acknowledges support from the John Fell Fund and the EPSRC (EP/J00541X/2 and EP/J018694/1). The authors also acknowledge support from the DFG and the State of Baden-Württemberg through the DFG-Center for Functional Nanostructures (CFN). The authors thank S. Diewald for assistance with device fabrication. | en_GB |
dc.identifier.citation | Vol. 8, article 1256 | en_GB |
dc.identifier.doi | 10.1038/s41467-017-01506-3 | |
dc.identifier.uri | http://hdl.handle.net/10871/30327 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer Nature | en_GB |
dc.relation.source | Additional data supporting the conclusions are available in Supplementary Materials. | en_GB |
dc.rights | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.subject | Materials for optics | en_GB |
dc.subject | Nanoscale devices | en_GB |
dc.subject | Optical materials and structures | en_GB |
dc.subject | Photonic devices | en_GB |
dc.title | Calculating with light using a chip-scale all-optical abacus | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2017-11-16T14:15:31Z | |
dc.description | This is the final version of the article. Available from Springer Nature via the DOI in this record. | en_GB |
dc.identifier.journal | Nature Communications | en_GB |