Linear programmable nanophotonic processors
© 2018 Optical Society of America. Advances in photonic integrated circuits have recently enabled electrically reconfigurable optical systems that can implement universal linear optics transformations on spatial mode sets. This review paper covers progress in such “programmable nanophotonic processo...
| Main Authors: | , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
The Optical Society
2021
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| Online Access: | https://hdl.handle.net/1721.1/135163 |
| _version_ | 1826195943876198400 |
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| author | Harris, Nicholas C Carolan, Jacques Bunandar, Darius Prabhu, Mihika Hochberg, Michael Baehr-Jones, Tom Fanto, Michael L Smith, A Matthew Tison, Christopher C Alsing, Paul M Englund, Dirk |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Harris, Nicholas C Carolan, Jacques Bunandar, Darius Prabhu, Mihika Hochberg, Michael Baehr-Jones, Tom Fanto, Michael L Smith, A Matthew Tison, Christopher C Alsing, Paul M Englund, Dirk |
| author_sort | Harris, Nicholas C |
| collection | MIT |
| description | © 2018 Optical Society of America. Advances in photonic integrated circuits have recently enabled electrically reconfigurable optical systems that can implement universal linear optics transformations on spatial mode sets. This review paper covers progress in such “programmable nanophotonic processors” as well as emerging applications of the technology to problems including classical and quantum information processing and machine learning. |
| first_indexed | 2024-09-23T10:18:18Z |
| format | Article |
| id | mit-1721.1/135163 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:18:18Z |
| publishDate | 2021 |
| publisher | The Optical Society |
| record_format | dspace |
| spelling | mit-1721.1/1351632023-03-01T18:18:22Z Linear programmable nanophotonic processors Harris, Nicholas C Carolan, Jacques Bunandar, Darius Prabhu, Mihika Hochberg, Michael Baehr-Jones, Tom Fanto, Michael L Smith, A Matthew Tison, Christopher C Alsing, Paul M Englund, Dirk Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics © 2018 Optical Society of America. Advances in photonic integrated circuits have recently enabled electrically reconfigurable optical systems that can implement universal linear optics transformations on spatial mode sets. This review paper covers progress in such “programmable nanophotonic processors” as well as emerging applications of the technology to problems including classical and quantum information processing and machine learning. 2021-10-27T20:11:02Z 2021-10-27T20:11:02Z 2018 2019-06-14T16:31:07Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135163 en 10.1364/OPTICA.5.001623 Optica Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf The Optical Society OSA Publishing |
| spellingShingle | Harris, Nicholas C Carolan, Jacques Bunandar, Darius Prabhu, Mihika Hochberg, Michael Baehr-Jones, Tom Fanto, Michael L Smith, A Matthew Tison, Christopher C Alsing, Paul M Englund, Dirk Linear programmable nanophotonic processors |
| title | Linear programmable nanophotonic processors |
| title_full | Linear programmable nanophotonic processors |
| title_fullStr | Linear programmable nanophotonic processors |
| title_full_unstemmed | Linear programmable nanophotonic processors |
| title_short | Linear programmable nanophotonic processors |
| title_sort | linear programmable nanophotonic processors |
| url | https://hdl.handle.net/1721.1/135163 |
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