Current students

Monday, April 8, 2019 2:30 pm - 2:30 pm EDT (GMT -04:00)

Custom low-dimensional material systems explored at the atomic scale

Adina Luican-Mayer, University of Ottawa

Innovative technologies have a history of capitalizing on the discovery of new physical phenomena, often at the confluence of advances in material characterization techniques and innovations in design and controlled synthesis of high-quality materials. Pioneered by the discovery of graphene, atomically thin materials (2D materials) hold the promise for realizing physical systems with distinct properties, previously inaccessible.

Thursday, March 28, 2019 4:00 pm - 4:00 pm EDT (GMT -04:00)

Real algebra, random walks, and information theory

Tobias Fritz, Perimeter Institute

Similar to how commutative algebra studies rings and their ideals, the protagonists of real algebra are ordered rings. Their interplay between algebra and geometry is studied in terms of Positivstellen- stze, real analogs of the Nullstellensatz, which go back to Artin's solution of Hilbert's 17th problem. I will describe some of the state of the art in this eld, and then introduce a new Positivstellensatz which unies and generalizes several of the existing ones.

Des chercheurs de l’Institut d’informatique quantique (IQC) ont réalisé la première démonstration d’un radar à bruit à illumination quantique, ouvrant la voie à des avancées prometteuses en technologie des radars.

Les chercheurs ont montré comment le processus quantique peut rendre un radar 10 fois plus performant que son pendant classique, permettant de détecter des objets plus petits, plus éloignés ou qui se déplacent plus vite — tout en rendant le radar moins détectable par ses cibles.

Wednesday, March 20, 2019 10:30 am - 10:30 am EDT (GMT -04:00)

How to learn a quantum state

John Wright, Massachusetts Institute of Technology (MIT)

In the area of quantum state learning, one is given a small number of "samples" of a quantum state, and the goal is use them to determine a feature of the state. Examples include learning the entire state ("quantum state tomography"), determining whether it equals a target state ("quantum state certification"), or estimating its von Neumann entropy. These are problems which are not only of theoretical interest, but are also commonly used in current-day implementation and verification of quantum technologies.

Monday, March 18, 2019 11:00 am - 11:00 am EDT (GMT -04:00)

Operating noisy quantum computers

Joel Wallman, University of Waterloo

Significant global efforts are currently underway to build quantum computers. The two main goals for near-term quantum computers are finding and solving interesting problems in the presence of noise and developing techniques to mitigate errors. In this talk, I will outline and motivate an abstraction layer needed to reliably operate quantum computers under realistic noise models, namely, a cycle consisting of all the primitive gates applied to a quantum computer within a specified time period.

Wednesday, March 13, 2019 2:00 pm - 2:00 pm EDT (GMT -04:00)

Quantum coherence manipulation with finite resources

Kun Fang, University of Cambridge

As a more general form of quantum superposition, quantum coherence represents one of the most fundamental features that set the difference of quantum mechanics from the classical realm. In this talk, we will use the tool of semidefinite programming to study two fundamental tasks relating quantum coherence, i.e., coherence distillation of quantum states and coherence cost of quantum processes.

Friday, March 22, 2019 11:45 am - 11:45 am EDT (GMT -04:00)

RAC1 Journal Club/Seminar Series

An introduction to making scientific figures with Illustrator and Blender

Special guest speaker: Christopher Gutierrez, University of British Columbia

Scientific research can be a slow and laborious process. The absolutely final step in the process is to then communicate your exciting scientific findings to other scientists both in and outside of your field. Yet it is often at this final step where the least amount of time is spent.

Un nouveau capteur quantique mis au point par des chercheurs de l’Institut d’informatique quantique de l’Université de Waterloo (IQC) montre qu’il peut surclasser les technologies existantes et promet des progrès importants dans l’imagerie 3D à longue portée et le suivi du traitement de cancers.

Travaillant sous la direction du professeur Michael Reimer, des chercheurs de l’Institut d’informatique quantique (IQC) ont mis au point un nouveau capteur quantique ayant recours à des nanofils semiconducteurs qui peuvent détecter rapidement et efficacement des particules individuelles de lumière sur une gamme sans précédent de longueurs d’onde allant de l’ultraviolet à l’infrarouge proche.