We are developing integrated photonic networks for quantum information and neuromorphic computing applications. Opportunities are available to develop these integrated networks and to perform optical characterization and control. Research teams at NRL have expertise in quantum emitter growth, fabrication of optoelectronic photonic crystal devices, nonlinear and quantum optics measurements, theory, and simulation. Current topics of interest include on-chip networks of spin qubits, entangled photon sources, and reservoir computing.
Joel Q. Grim, A. S. Bracker, M. Zalalutdinov, S. G. Carter, A. C. Kozen, M. Kim, C. S. Kim, J. T. Mlack, M. Yakes, B. Lee, D. Gammon, “Scalable in operando strain tuning in nanophotonic waveguides enabling three-quantum-dot superradiance,” Nature Mat. 18, 963 (2019)
S. G Carter, S. C Badescu, A. S Bracker, M. K. Yakes, K. X. Tran, Joel Q. Grim, D. Gammon, “Coherent population trapping combined with cycling transitions for quantum dot hole spins using triplet trion states,” Physical Review Letters 126, 107401 (2021).
J. J. Fonseca, A. L. Yeats, B. Blue, M. K. Zalalutdinov, T. Brintlinger, B. S. Simpkins , D. C. Ratchford, J. C. Culbertson, Joel Q. Grim, S. G. Carter , M. Ishigami, R. M. Stroud, C. D. Cress, and J. T. Robinson, “Enabling remote quantum emission in 2D semiconductors via porous metallic networks,” Nat. Comm. 11, 5 (2020)
Quantum information; Quantum optics; Quantum dots; Neuromorphic computing; Reservoir computing; Nanophotonics; Spectroscopy; Photonic crystals