Solid-State and Nano Seminar

Scalable Sources for Non-Classical Light using Local Slow-Light Engineering

Khaled MnaymnehEngineer in Research LeadUniversity of Michigan, Department of Electrical Engineering & Computer Science

Quantum information on scalable integrated photonic devices has the potential to overcome current limitations of conventional electronics and optoelectronics technologies. However, key requirements for scalability are currently not available. One enabling capability is the reliable generation of non-classical light. Collection and routing such light needs to be extremely efficient. In this talk, I present a monolithic way to design and fabricate scalable single-photon devices using single InAs quantum dots in indium phosphide (InP) photonic crystals. Three basic ingredients are needed: (1) a site-selected self-deterministic method to grow single quantum dots, (2) a highly efficient way to collect and route the single photons emitted from these dots and (3) highly confining single-mode waveguides in InP that interface the nanostructures that generate and harvest the single photons and provide low-loss transmission to and from fiber optic networks. We begin by describing the site-selected self-deterministic method to grow single quantum dots followed by a description of local slow-light engineering used to collect and route photons emitted from these localized single dots.

Khaled Mnaymneh is an associate research officer with the Quantum Photonics Sensing and Security Program and Canadian Photonics Fabrication Centre at the National Research Council of Canada in Ottawa, Canada. He is also a visiting scholar in the Department of Mechanical Engineering at the University of Michigan and an adjunct research professor at Carleton University in Ottawa, Canada. Before returning to Canada, he was a staff scientist and outreach specialist with the Lurie Nanofabrication Facility at the University of Michigan. Previous to this, he was a Research Fellow at the University of St. Andrews working with Thomas F. Krauss and Maurice Skolnick at the University of Sheffield.

Sponsored by

University of Michigan, Department of Electrical Engineering & Computer Science