Programmable Unitary Operations for Orbital Angular Momentum Encoded States
Shikang Li, Xue Feng, Kaiyu Cui, Fang Liu, Wei Zhang, Yidong Huang

TL;DR
This paper presents a scalable scheme for programmable unitary operations in the orbital angular momentum domain, enabling arbitrary matrix implementation via matrix decomposition and Fourier transforms, verified through simulations and experiments.
Contribution
The authors introduce a novel, efficient matrix decomposition method for programmable unitary operations in the OAM domain, demonstrated through simulations and proof-of-principle experiments.
Findings
Achieved high-fidelity (0.97) unitary operations in the path domain.
Demonstrated the scheme's parallelism with multiple 3x3 matrices.
Validated the approach with both numerical simulations and experimental results.
Abstract
We have proposed and demonstrated a scalable and efficient scheme for programmable unitary operations in orbital angular momentum (OAM) domain. Based on matrix decomposition into diagonal and Fourier factors, arbitrary matrix operators can be implemented only by diagonal matrices alternately acting on orbital angular momentum domain and azimuthal angle domain, which are linked by Fourier transform. With numerical simulations, unitary matrices with dimensionality of 3*3 are designed and discussed for OAM domain. Meanwhile, the parallelism of our proposed scheme is also presented with two 3*3 matrices. Furthermore, as an alternative to verify our proposal, proof of principle experiments have been performed on path domain with the same matrix decomposition method, in which an average fidelity of 0.97 is evaluated through 80 experimental results with dimensionality of 3*3.
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.
