Inverse design has revolutionized the field of photonics,enabling automated development of complex structures and geometries with unique functionalities unmatched by classical design.However,the use of inverse design ...Inverse design has revolutionized the field of photonics,enabling automated development of complex structures and geometries with unique functionalities unmatched by classical design.However,the use of inverse design in nonlinear photonics has been limited.In this work,we demonstrate quantum and classical nonlinear light generation in silicon carbide nanophotonic inverse-designed Fabry-Pérot cavities.We achieve ultra-low reflector losses while targeting a pre-specified anomalous dispersion to reach optical parametric oscillation.By controlling dispersion through inverse design,we target a second-order phase-matching condition to realize second-and third-order nonlinear light generation in our devices,thereby extending stimulated parametric processes into the visible spectrum.This first realization of computational optimization for nonlinear light generation highlights the power of inverse design for nonlinear optics,in particular when combined with highly nonlinear materials such as silicon carbide.展开更多
Fast and accurate electromagnetic simulation of large-area metasurfaces remains a major obstacle in automating their design.In this paper,we propose a metasurface simulation distribution strategy which achieves a line...Fast and accurate electromagnetic simulation of large-area metasurfaces remains a major obstacle in automating their design.In this paper,we propose a metasurface simulation distribution strategy which achieves a linear reduction in the simulation time with the number of compute nodes.Combining this distribution strategy with a GPU-based implementation of the Transition-matrix method,we perform accurate simulations and adjoint sensitivity analysis of large-area metasurfaces.We demonstrate ability to perform a distributed simulation of large-area metasurfaces(over 600λ×600λ),while accurately accounting for scatterer-scatterer interactions significantly beyond the locally periodic approximation.展开更多
基金This work is funded by the Defense Advanced Research Projects Agency under the LUMOS program and by the IET A F Harvey Prize.J.Y.acknowledges support from the National Defense Science and Engineering Graduate(NDSEG)Fellowship.
文摘Inverse design has revolutionized the field of photonics,enabling automated development of complex structures and geometries with unique functionalities unmatched by classical design.However,the use of inverse design in nonlinear photonics has been limited.In this work,we demonstrate quantum and classical nonlinear light generation in silicon carbide nanophotonic inverse-designed Fabry-Pérot cavities.We achieve ultra-low reflector losses while targeting a pre-specified anomalous dispersion to reach optical parametric oscillation.By controlling dispersion through inverse design,we target a second-order phase-matching condition to realize second-and third-order nonlinear light generation in our devices,thereby extending stimulated parametric processes into the visible spectrum.This first realization of computational optimization for nonlinear light generation highlights the power of inverse design for nonlinear optics,in particular when combined with highly nonlinear materials such as silicon carbide.
基金This work was supported by the Samsung GRO program.J.S.acknowledges support from the National Science Foundation Graduate Research Fellowship(grant no.DGE-1656518)Cisco Systems Stanford Graduate Fellowship(SGF)R.T acknowledges support from Max Planck Harvard research center for Quantum Optics(MPHQ)fellowship,and Sarah and Kailath Stanford Graduate Fellowship(SGF).
文摘Fast and accurate electromagnetic simulation of large-area metasurfaces remains a major obstacle in automating their design.In this paper,we propose a metasurface simulation distribution strategy which achieves a linear reduction in the simulation time with the number of compute nodes.Combining this distribution strategy with a GPU-based implementation of the Transition-matrix method,we perform accurate simulations and adjoint sensitivity analysis of large-area metasurfaces.We demonstrate ability to perform a distributed simulation of large-area metasurfaces(over 600λ×600λ),while accurately accounting for scatterer-scatterer interactions significantly beyond the locally periodic approximation.
