Tech Talk: Let's talk about Quantum Computers

by TechLab

On Campus Innovation & ICT Technology / Telecommunications ...

Mon, Mar 18, 2019

1 PM – 2 PM (GMT+1)

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MARIA DE MOLINA, 11
AULA MAGNA

Calle de María de Molina, 11, 28006 Madrid, Spain

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Dr. Lucas Lamata will describe part of the research on Quantum Technologies that it is been carried out at the QUTIS Group at the University of the Basque Country in Bilbao, Spain. In the first part of the talk, he will introduce the concept of a quantum simulator: a quantum controllable device that can be used as a computer to predict the properties of another, highly complex, quantum system. He will review quantum algorithms developed by his group to reproduce the quantum behaviour of systems like electrons in a superconductor. Finally, he will show how to implement these quantum algorithms in quantum devices as trapped ions and superconducting circuits, as the ones companies like Google and IBM are employing. In the second part of the talk, he will analyze the possibility to employ quantum technologies to perform machine learning calculations, as well as bio inspired protocols. He will describe our experimental realization of quantum artificial life in the IBM cloud quantum computer, and basic protocols of quantum reinforcement learning with superconducting circuit devices.

Where

MARIA DE MOLINA, 11
AULA MAGNA

Calle de María de Molina, 11, 28006 Madrid, Spain

Speakers

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Lucas Lamata

Ramón y Cajal Fellow

University of the Basque Country

Dr. Lucas Lamata is a Ramón y Cajal staff researcher at the University of the Basque Country, Bilbao, Spain.



He leads the Quantum Artificial Intelligence Team, a research group inside the QUTIS group of Prof. Enrique Solano at UPV/EHU.





The Quantum Artificial Intelligence Team at the University of the Basque Country carries out cutting-edge research on quantum-enhanced protocols in artificial intelligence and machine learning, as well as in the use of machine learning techniques to better understand and control quantum systems. They are highly interested in establishing analogies between previously unconnected fields, and in trying new research avenues, which may later on provide useful applications. Further ramifications of their research involve quantum biomimetics, bioinspired quantum technologies, and quantum artificial life designs. Dr. Lamata always aims to connect novel theoretical ideas with practical quantum implementations.



 



Dr. Lamata's research up to now has been focused on quantum optics and quantum information, including pioneering proposals for quantum simulations of relativistic quantum mechanics, fermionic systems, and spin models, with trapped ions and superconducting circuits. He is also interested in the emulation of biological behaviours with quantum controllable systems, in the research line that he calls quantum biomimetics. He also analyzes the possibility of combining artificial intelligence and machine learning protocols with quantum devices. He enjoys working with experimentalists, and has made proposals and participated in 15 experiments in collaboration with up to 15 prominent experimental groups in quantum science, with trapped ions, electrons in Penning traps, superconducting circuits, quantum photonics, and nuclear magnetic resonance. Up to 16 of his theoretical proposals for implementations have been carried out in experiments by top-flight groups.



 



Before working in Bilbao, first as a Marie Curie postdoctoral fellow and currently with his Ramón y Cajal position, he was a Humboldt Fellow and a Max Planck postdoctoral fellow for 3 and a half years at the Max Planck Institute for Quantum Optics in Garching, Germany, working in Prof. Ignacio Cirac Group. Previously he carried out his PhD at CSIC central campus, in Serrano street, Madrid, and Universidad Autónoma de Madrid (UAM), supervised by Prof. Juan León. His PhD thesis was awarded with the Extraordinary Prize for a PhD in Physics in 2007 in UAM. He has 15-year research experience in centers of Spain and Germany, having performed research as well with scientific collaborations in several one- or two-week stays in centers of all continents as Harvard University, ETH Zurich, University of California Berkeley, Google Santa Barbara, University of California Santa Barbara, Google Los Angeles, Shanghai University, Tsinghua University, Macquarie University, University of Bristol, Walther-Meissner Institut Garching, University of KwaZulu-Natal, IQOQI Innsbruck, Universidad de Santiago de Chile, among others.


Fernando Esteve's profile photo

Fernando Esteve

Alumni

IE Business School

https://www.linkedin.com/in/fernandoesteve/

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