Complete and robust energy conversion by sum frequency generation based on Invariant Engineering
Congfu Zhang, Zhaolu Wang, Hongjun Liu

TL;DR
This paper introduces an invariant engineering approach to achieve near-perfect energy conversion in sum frequency generation, offering robustness against perturbations and broad spectral bandwidth, surpassing conventional methods.
Contribution
It presents a novel analytical method based on Lewis-Riesenfeld invariants for complete and robust sum frequency generation, with optimized crystal design for high efficiency.
Findings
Achieves nearly 100% conversion efficiency at any crystal length.
Demonstrates robustness against coupling and phase mismatch perturbations.
Provides broad spectral bandwidth of over 400 nm.
Abstract
We propose an analytical method to achieve complete energy conversion in sum frequency generation based on Lewis-Riesenfeld invariants theory. This technique, derived from a two-level atom transition in quantum mechanics, is more efficient and robust than conventional methods. In our scheme, the quasi-adiabatic single control parameter model is established, and the value of single control parameter is selected to make the initial eigenstate perfectly converted to the final eigenstate we need. Corresponds to the nonlinear frequency conversion process, the nonlinear crystal structure is designed with the inverse engineering of optimal control theory, which is robust against the perturbations in the coupling coefficient and phase mismatch, including pump intensity and crystal polarization period variations, and results in almost 100% conversion efficiency at any crystal length. It is…
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
TopicsScientific Research and Discoveries · Underwater Acoustics Research · Advanced Algorithms and Applications
