Process tomography of structured optical gates with convolutional neural networks
Efficient and accurate characterization of an experimental setup is a critical requirement in any physical setting. In the quantum realm, the characterization of an unknown operator is experimentally accomplished via Quantum Process Tomography (QPT). This technique combines the outcomes of different...
Saved in:
| Main Authors: | Tareq Jaouni, Francesco Di Colandrea, Lorenzo Amato, Filippo Cardano, Ebrahim Karimi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
|
| Series: | Machine Learning: Science and Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2632-2153/ad9ba8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Harnessing Nth Root Gates for Energy Storage
by: Elliot John Fox, et al.
Published: (2024-11-01) -
A Study of q-Deformed Bosons, and Their Implications to Quantum Optics
by: Mustafa Şenay
Published: (2024-10-01) -
Topological optical parametric oscillation
by: Roy Arkadev, et al.
Published: (2022-02-01) -
Quantum Computation via Multiport Discretized Quantum Fourier Optical Processors
by: Mohammad Rezai, et al.
Published: (2024-01-01) -
Optimal Partitioning of Quantum Circuits Using Gate Cuts and Wire Cuts
by: Sebastian Brandhofer, et al.
Published: (2024-01-01)