Input-output optics as a causal time series mapping: A generative machine learning solution
The response of many-body quantum systems to an optical pulse can be extremely challenging to model. Here we explore the use of neural networks, both traditional and generative, to learn and thus simulate the response of such a system from data. The quantum system can be viewed as performing a compl...
Saved in:
| Main Authors: | Abhijit Sen, Bikram Keshari Parida, Kurt Jacobs, Denys I. Bondar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2025-04-01
|
| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.7.023015 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs
by: David O. Smallwood
Published: (2007-01-01) -
Topology and Control Strategy for Input-series and Output-series Cascaded Soft-switching BOOST Converter
by: ZHU Qiliang, et al.
Published: (2018-01-01) -
Atmospheric Microplastics: Inputs and Outputs
by: Christine C. Gaylarde, et al.
Published: (2025-05-01) -
Printed multiple input multiple output antennas powered by passive metamaterial and defected ground for diverse sixth generation applications
by: Shahanawaz Kamal, et al.
Published: (2025-07-01) -
Angular Circle Array Multiple Input Multiple Output Underwater Optical Wireless Communications
by: Zhuoqi Chen, et al.
Published: (2024-12-01)