Quick Navigation
Topics
Quantum Networks
Quantum-well metasurface for free-space-accessible enhanced nonlinear polarization
Crossref
Authors: Pernille Undrum Fathi, Irene Occhiodori, Patrick Devaney, Amberly Ricks, Rithvik Ramesh, Yiwei Ju, Moaz Waqar, Theodore P. Letsou, Christina M. Spägele, Hyunseung Jung, Igal Brener, Xiaoqing Pan, Marcus Ossiander, Seth R. Bank, Federico Capasso
Year
2026
Paper ID
77124
Status
Peer-reviewed
Abstract Read
~2 min
Abstract Words
133
Citations
N/A
Abstract
Abstract Nonlinear frequency conversion underpins important technologies such as telecommunications and quantum computation; however, weak nonlinearities and architectures that resist miniaturization currently limit devices’ efficiency and widespread adoption. Here we combine a band-structure-engineered GaAs/AlGaAs multi-quantum-well heterostructure with a high-quality-factor dielectric metasurface and symmetry-broken guided-mode field profiles to enhance the material nonlinear susceptibility. By engineering a resonant interband transition in the heterostructure, we realize a second-order nonlinear tensor element of 1.6 nm V −1 at 1.57 μm wavelength. We then make it free-space accessible and boost the effective nonlinearity to 14 nm V −1 using a metasurface patterned on the material. Our proof-of-concept experiment establishes that combining interband-transition engineering and metasurfaces enables giant effective nonlinearities in the near-infrared to visible spectrum. This addresses material and device-level constraints in nonlinear photonics, providing a scalable route to compact, efficient devices.
Why This Paper Matters
- This paper contributes to the Quantum Networks research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Abstract Nonlinear frequency conversion underpins important technologies such as telecommunications and quantum computation; however, weak nonlinearities and architectures that...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.