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Quantum Computation and Information Seminar   RSS

09/10/2015, 16:30 — 17:30 — Seminar room (2.8.3), Physics Building
, Google Quantum Artificial Intelligence Lab

Quantum Machine Learning​

Over the past 30 years, two different computational paradigms have been developed based on the premise that the laws of quantum mechanics could provide radically new and more powerful methods of information processing.  One of these approaches is to encode the solution of a computational problem into the ground state of a programmable many-body quantum Hamiltonian system. Although, there is empirical evidence for quantum enhancement in certain problem instances, there is not a full theoretical understanding of the conditions for quantum speed up for problems of practical interest, especially hard combinatorial optimization and inference tasks in machine learning. In his talk, I will provide an overview of quantum computing paradigms and discuss the progress at the Google Quantum Artificial Intelligence Lab towards developing the general theory and overcoming practical limitations. Furthermore, I will briefly discuss two recent quantum machine learning primitives that we have developed known as Quantum Principal Component Analysis and Multiqubit Quantum Tunneling.

Joint session with the Physics of Information Seminar. Please note exceptional time and place.

Supported by: Phys-Info (IT), SQIG (IT), CeFEMA and CAMGSD, with funding from FCT, FEDER and EU FP7, specifically through the Doctoral Programme in the Physics and Mathematics of Information (DP-PMI), FCT strategic projects PEst-OE/EEI/LA0008/2013 and UID/EEA/50008/2013, IT project QuSim, project CRUP-CPU CQVibes, the FP7 Coordination Action QUTE-EUROPE (600788), and the FP7 projects Landauer (GA 318287) and PAPETS (323901).

Instituto de TelecomunicaçõesCAMGSDFCT7th Framework Programme