Joint Quantum Seminar
Wednesday, September 11
4:00 PM, Jefferson 250
Prof. Markus Aspelmeyer
University of Vienna
Institute for Quantum Optics and Quantum Information (IQOQI) , Austrian Academy of Sciences
“Quantum Optical Control of Levitated Solids: a novel probe for the gravity-quantum interface”
The increasing level of control over motional quantum states of massive, solid-state mechanical devices opens the door to an hitherto unexplored parameter regime of macroscopic quantum physics. I will report on our recent progress towards controlling levitated solids in the quantum regime. I will discuss the prospects of using these systems for fundamental tests of physics, including the interface between quantum and gravitational physics.
4:00 pm: 10-minute Talk
4:10 pm: Refreshments
4:30 pm: Prof. Aspelmeyer
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Clare Ploucha
Director of Programs
Harvard Quantum Initiative
17 Oxford Street, Jefferson 357
Cambridge, MA 02138
P: 617-495-3388
Dear quanta,
Let's meet this 11am in 6-310 as usual. Our own Alex Dalzell is back
visiting and will speak.
-aram
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Hello all,
I will speak at group meeting tomorrow. My title and abstract can be found below. We will meet at the usual time and place, SS571 at 2:30pm. If you would like to join the meeting via Skype, please let me know.
Best,
Riley
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Title: Gemini: Dynamic Bias Correction for Autonomous Experimentation
Abstract: I will present Gemini, a machine learning algorithm capable of predicting expensive to evaluate experimental response surfaces using heterogeneous data. Here, evaluation expense is measured with respect to any budgeted resources (ie. time consuming calculations, synthesis of complicated intermediates, etc). Gemini is shown to be useful in making accurate predictions of expensive response surfaces when supplemented by evaluations of a cheaper to evaluate surface that shares a high degree of correlation with its counterpart. I will detail analytic tests performed on an ensemble of 1D response curves, before presenting preliminary results from two applications of Gemini in chemistry: the design of photo-stable polymer blends for organic photovoltaics, and the prediction of hydration free energies for small organic molecules. Lastly, I suggest how Gemini might be used in tandem with the deep Bayesian optimizer Phoenics in a global optimization setting.