Pollock Dining Commons Room 204
11:00am to 1:00pm
Quantum nanophotonic metamaterials are engineered, artificial nanostructures made of periodic nanoscale unit cells that incorporate quantum material elements —such as entangled single photon pair emitting crystals and quantum dots. They are used to control and boost quantum light-matter interactions and manipulate quantum electromagnetic radiation at sub-wavelength scales. However, the design of such quantum metamaterials is extremely difficult due to their nanoscale features complexity and other fundamental physical limitations in the materials used, including the diffraction limit of light, poor efficiency due to extremely weak light-matter interactions, and decoherence/dephasing caused by radiative and nonradiative losses. In my talk, I will discuss about these problems and suggest ways to tackle them by using advanced AI-powered optimization algorithms combined with quantum electrodynamic simulations, with the goal to fabricate and realize new quantum metamaterials that use photons to efficiently encode and process quantum information. The primary goal will be to address key challenges like photon loss and decoherence, thereby enabling more robust and scalable quantum computing, communication, and sensing. To achieve this goal, we need to embark in a campaign of AI-assisted topology optimization combined with full-wave quantum optical simulations with the objective to fabricate and test new quantum metamaterial designs with improved functionalities.
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