Conférences  >  Informatique  >  Théorie de l'information quantique et informatique quantique  >  Canada

The Undergraduate School on Experimental Quantum Information Processing (USEQIP) is a two-week program on the theoretical and experimental study of quantum information aimed primarily at students one year away from completing their undergraduate studies.

Cours et événements pour étudiants en physique,    Mécanique quantique et technologie quantique

Fields Institute, Toronto, Canada

Fields Institute, Toronto, Canada

Fields Institute, Toronto, Canada

Fields Institute, Toronto, Canada

The three core objectives of the event are: (i) Accelerating research by crossing disciplinary boundaries between chemistry, physics, math, computer science and engineering, theory and experiment, quantum information processing and its "hardware" materials. (ii) Training junior researches in QIS with tutorials, research talks, and by providing them with opportunities to interact directly with leaders in the field. (iii) Strengthening QIS research in Canada by promoting collaborations and increasing the visibility of Canadian contributions to the field. QIS has evolved into a broad field encompassing numerous subfields. The primary goal of this conference is to foster interactions and collaborations among researchers working across diverse areas of QIS. Unlike many conferences that focus on one specific subfield of QIS, this event aims to bring to the same room researchers from a wide spectrum of QIS topics, and including theory and experimental work. The event will cover the study of foundations and applications in QIS and various prominent physical platforms: photons, atoms, molecules, and solid-state systems. The second objective of the conference is to train the next generation of QIS researchers including senior undergraduates, graduate students, postdoctoral fellows, and early-career researchers. The event will provide Canadian and international trainees with knowledge on the current state of the field and an understanding of key challenges in QIS.