Hi all!

Just a as a reminder today is our weekly coffee hour! Today the talk will be given by Zhaxylyk Kudyshev from Prof. Vladimir Shalaev and Prof. Kildishev's groups! The talk will be over the use of Machine learning-assisted classification of quantum emitters

As per usual coffee and snacks will be provided!

What: NSAC Coffee Hour talk
When: Friday, 1/31/2020, 3:30 pm
Where: BNC Atrium
Speaker: Zhaxylyk Kudyshev
Title:  Machine learning-assisted classification of quantum emitters

Abstract: 
Deterministic nanoassembly may enable unique integrated on-chip quantum photonic devices. Such integration requires a careful large-scale selection of nanoscale building blocks such as solid state single-photon emitters by the means of optical characterization. Second-order autocorrelation is a cornerstone measurement that is particularly time-consuming to realize on a large scale. We have implemented supervised machine learning-based classification of quantum emitters as “single” or “not-single” based on their sparse autocorrelation data. Our method yields a classification accuracy of over 90% within an integration time of less than a second, realizing roughly a hundredfold speedup compared to the conventional, Levenberg-Marquardt approach. We anticipate that machine learning-based classification will provide a unique route to enable rapid and scalable assembly of quantum nanophotonic devices and can be directly extended to other quantum optical measurements

Look forward to seeing you there! 

Sincerely,

-Sam Peana