Strong broadband intensity noise squeezing from near-infrared to terahertz frequencies in semiconductor lasers with nonlinear dissipation
Sahil Pontula, Jamison Sloan, Nicholas Rivera, Marin Soljacic

TL;DR
This paper demonstrates broadband intensity noise squeezing from near-infrared to terahertz frequencies in semiconductor lasers with nonlinear dissipation, enabling new quantum optics applications and control of light in multiple domains.
Contribution
It introduces a novel semiconductor laser protocol supporting highly broadband intensity noise squeezing across IR to THz wavelengths, surpassing previous limits.
Findings
Achieved >10 dB intensity noise squeezing in semiconductor lasers.
Demonstrated broadband squeezing from IR to THz frequencies.
Enabled control of light in both temporal and noise domains.
Abstract
The generation and application of squeezed light have long been central goals of quantum optics, enabling sensing below the standard quantum limit, optical quantum computing platforms, and more. Intensity noise squeezing of bright (coherent) states, in contrast to squeezed vacuum, is relatively underdeveloped. Bright squeezing has been generated directly through nonlinear optical processes or ``quietly pumped'' semiconductor lasers. However, these methods suffer from weak squeezing limits, narrow operating wavelength ranges, and have not been explored at large bandwidths. Here, we show how semiconductor lasers with sharp intensity-dependent dissipation can support highly broadband intensity noise squeezing from infrared (IR) to terahertz (THz) wavelengths, the latter of which has remained unexplored in quantum noise studies. Our protocol realizes strongly ( dB) intensity…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhotonic and Optical Devices · Neural Networks and Reservoir Computing · Quantum Information and Cryptography
