Hi all,

Tomorrow Severin Tschui will present his master's thesis with Zhikuan Zhao from the computer science department, entitled "Supervised Classification with Quantum Embeddings", and Arman Pour Tak Dost will present his semester project with Mischa, entitled "Quasi-Ideal clocks and their environments". See below for their abstracts. We'll start at 2pm on zoom: https://ethz.zoom.us/j/362994444.

Best,

Joe

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Speaker: Severin Tschui
Title: Supervised Classification with Quantum Embeddings
Abstract: The theory of supervised classification using quantum algorithms is reviewed, focusing on the similarity between classical kernel machines and a quantum classifier model. The model is based on identifying the encoding of classical data in a quantum Hilbert space as a feature map, termed quantum embedding. An ansatz is defined on how to realise such an embedding using quantum circuits, and a code framework is provided which handles the implementation and simulation. We apply the model to classify four different data sets, finding that it reaches high training accuracy in all cases but failing to generalise on two data sets with greater dimension. We present a novel idea for assessing quantum embedding quality and carry out a simulation to investigate its merits. The experiment did not deliver statistically significant results to confirm or refute if the method is viable.


Speaker: Arman Pour Tak Dost
Title: Quasi-Ideal clocks and their environments
Abstract: In this presentation, we motivate the axioms that clocks should satisfy. They were already known but motivated from a different point of view. It turns out that quantum clocks are more precise than classical clocks. We want to investigate the physicality of this result and present different approaches. We find a collision model that could potentially realize the clock experimentally. Yet, there is a rescaling procedure involved, the physicality of which remains for further investigations.