Physical Review Applied
Programmable Spatiotemporal Quantum Parametric Mode Sorter
Malvika Garikapati, Santosh Kumar, He Zhang, Yong Meng Sua, Yu‐Ping Huang
Abstract
Photons are ideal information carriers for sensing, communication, and computing. In principle, a single photon can carry much information in its spatiotemporal modes; the challenge is to read it out, as linear optical elements are not sensitive to the subtle differences among those modes. This study demonstrates a nonlinear-optical approach in which a single pass through a LiNiO${}_{3}$ waveguide can separate photons according to their detailed spatiotemporal profiles or their superpositions, even if they completely overlap with each other. This provides access to photons' large Hilbert spaces, pointing to applications in free-space quantum communication, computing, and sensing.