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PennyLane - Automatic Differentiation and Machine Learning of Quantum Computations

29 Apr 2020 | | Contributor(s):: Nathan Killoran

PennyLane is a Python-based software framework for optimization and machine learning of quantum and hybrid quantum-classical computations.

Nathan Killoran

Nathan holds a MSc in Mathematics from the University of Toronto and a PhD in Physics from the University of Waterloo. He specializes in quantum computing, deep learning, and quantum optics.
https://nanohub.org/members/286348

Rohit Goswami

https://nanohub.org/members/282063

Raphael C. Pooser

Dr. Pooser is an expert in continuous variable quantum optics. He leads the quantum sensing team within the quantum information science group. His research interests include quantum computing,...
https://nanohub.org/members/275623

The Algebra of Topological Quantum Computing

05 Dec 2019 | | Contributor(s):: Qing Zhang

In this talk, I will discuss some recent results in the theory of tensor categories, motivated by this connection with topological quantum computation.

Jason Turner

https://nanohub.org/members/270698

Entanglement, Inc - revolutionizing computation | transforming ai

06 Nov 2019 | | Contributor(s):: Jason Turner

Universal Variational Quantum Computation

28 Oct 2019 | | Contributor(s):: Jacob Biamonte

We show that the variational approach to quantum enhanced algorithms admits a universal model of quantum computation.

Machine Learning for Quantum Control

28 Oct 2019 | | Contributor(s):: Barry Sanders

We develop a framework that connects reinforcement learning with classical and quantum control, and this framework yields adaptive quantum-control policies that beat the standard quantum limit, inspires new methods for improving quantum-gate design for quantum computing, and suggest new ways to...

Barry Sanders

Dr. Barry Sanders is Director of the Institute for Quantum Science and Technology at the Univer- sity of Calgary, Lead Investigator of the Alberta Major Innovation Fund Project on Quantum Tech-...
https://nanohub.org/members/269902

On Topological Quantum Computing

28 Oct 2019 | | Contributor(s):: Shawn Xingshan Cui

We give an introduction to the theory of topological quantum computing (TQC), which is an approach to realizing quantum computation with non-Abelian anyons.

Paven Thomas Mathew

https://nanohub.org/members/264875

Quantum Algorithmic Breakeven: on Scaling Up with Noisy Qubits

21 Aug 2019 | | Contributor(s):: Daniel Lidar

In this talk I will argue in favor of a different criterion I call "quantum algorithmic breakeven," which focuses on demonstrating an algorithmic scaling improvement in an error-corrected setting over the uncorrected setting. I will present evidence that current experiments with...

Quantum Information and Computation for Quantum Chemistry

14 Aug 2019 | | Contributor(s):: Sabre Kais

Recently, Purdue University received $1.5 million in National Science Foundation (NSF) funding to establish a research center to study quantum information science. The Center for Quantum Information and Computation for Chemistry will investigate information techniques used to gain novel...

Quantum Computers for Chemistry

13 Aug 2019 | | Contributor(s):: Kenneth R. Brown

In this talk, I will describe the current state of the art of chemistry on a quantum computer and explain why quantum error correction will likely be required for quantum computers to outperform conventional machines in this domain. I will present experimental results demonstrating chemistry...

Kenneth R. Brown

Prof. Brown's research interest is the control of quantum systems for both understanding the natural world and developing new technologies. His current research areas are the development of robust...
https://nanohub.org/members/257831

David J. Dean

David Dean has been the Physics Division Director at Oak Ridge National Laboratory since 2011. He also leads ORNL’s Isotope Program which produces and performs R&D on isotope relevant to medicine,...
https://nanohub.org/members/234315

Engineering a Superconducting Quantum Computer

30 Jun 2019 | | Contributor(s):: Zijun "Jimmy" Chen

In this talk, I will discuss Google’s efforts to tackle these challenges and engineer a large scale quantum processor. I will also show our latest results on achieving high fidelity single and two qubit operations on these devices, and discuss the prospects for achieving quantum supremacy.