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John Calsamiglia Costa

ICREA Acadèmia 2020

Universitat Autònoma de Barcelona · Experimental Sciences & Mathematics

John Calsamiglia Costa

John Calsamiglia (Minneapolis, 1974) obtained the Licentiate in Physics degree from the Univesitat Autònoma de Barcelona (UAB). After his postgraduate studies in theoretical physics at Universidad Autónoma de Madrid (UAM), he joined the Helsinki Institute of Physics to carry out his PhD. He held postdoctoral positions in Harvard-Smithsonian Center of Astrophysics (CFA) & University of Connecticut (UCONN), Ludwig Maximilians Universität München (LMU) and Universität Innsbruck. He returned to UAB with a Ramón y Cajal fellowship, where he is a professor with tenure since 2010.  

He currently coordinates the QuantEra project C’MON-QSENS! a European research effort to develop continuously monitored quantum sensors, He is one of the promotors and coordinators of the new Master in Quantum Science & Technology @Barcelona. He engages with several outreach activities promoting Physics and Quantum Information to high-school students and the general public.

Research interests

My expertise is on Quantum Information and my research interest revolve around two main areas.

Non-classicality: I made contributions in characterizing and quantifying non-classical resources such as  entanglement, coherence and non-classicality of light. Of particular interest are those traits that bring about a quantum advantage in performing particular tasks. Examples of such tasks that I have contributed to are blind purification, direction hiding and entanglement percolation in complex networks.

Quantum Statistical Inference, or how to interpret and process acquired quantum measurement data to infer some property of the system. This research has generated results in quantum sequential analysis, quantum learning,  quantum metrology, and quantum hypothesis testing. 

I am also proud to see myself taking part in training the next generation of quantum physicists who will help to understand and transform the world through quantum sciences.


Quantum Information, Quantum optics, Machine Learning and Statistical Inference, Complex Systems

ICREA Memoir 2022