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Schools
From March 18, 2024 to March 21, 2024

All day

Place: ICFO Auditorium

Daniel Nino, Xanadu

SPRING SCHOOL:

Title: "Differentiable quantum programming with PennyLane and introduction to PennyLane datasets"

 
Abstract Xanadu is a Canadian quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu is one of the world’s leading quantum hardware and software companies and also leads the development of PennyLane, an open-source software library for quantum computing and application development.
 
In this talk, attendees will learn about differentiable quantum programming and its role in quantum chemistry and quantum machine learning. By the end of the session, they will have hands-on experience in building quantum programs with PennyLane and how to use PennyLane quantum datasets to reduce time to research in application development.

Bio: Daniel is a Quantum Computing Educator at Xanadu, where he helps educators around the world train the next generation of talent in quantum computing and incorporate PennyLane into university curricula. He holds a MSc. in Physics from the University of Toronto, with a research focus on ultracold atomic physics. He also holds a PhD from the University of Toronto specializing in single-molecule biophysics.  After a brief postdoc, Daniel taught physics and engineering in various departments within the University of Toronto.

Schools
From March 18, 2024 to March 21, 2024

All day

Place: ICFO Auditorium

Daniel Nino, Xanadu

SPRING SCHOOL:

Title: "Differentiable quantum programming with PennyLane and introduction to PennyLane datasets"

 
Abstract Xanadu is a Canadian quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu is one of the world’s leading quantum hardware and software companies and also leads the development of PennyLane, an open-source software library for quantum computing and application development.
 
In this talk, attendees will learn about differentiable quantum programming and its role in quantum chemistry and quantum machine learning. By the end of the session, they will have hands-on experience in building quantum programs with PennyLane and how to use PennyLane quantum datasets to reduce time to research in application development.

Bio: Daniel is a Quantum Computing Educator at Xanadu, where he helps educators around the world train the next generation of talent in quantum computing and incorporate PennyLane into university curricula. He holds a MSc. in Physics from the University of Toronto, with a research focus on ultracold atomic physics. He also holds a PhD from the University of Toronto specializing in single-molecule biophysics.  After a brief postdoc, Daniel taught physics and engineering in various departments within the University of Toronto.