Students joining will be divided into groups and discuss each other's current work using the whiteboard.
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The tunneling time problem – the question on how long a particle spends inside a forbidden region, has puzzled physicists since the inception of quantum mechanics.
The Institute for Quantum Computing (IQC) alum Galit Anikeeva will talk about her research since IQC, at Stanford, MIT, and beyond - at first focusing on quantum error correction, and then most recently on tentative connections between chaos and Hamiltonian simulation. She will also highlight how lessons from her time at IQC have shaped her path through undergraduate research and into graduate school, especially welcoming questions from younger students.
I will talk about the quantum algorithms developed by block-encoding techniques for solving linear system of equations. We will see what sorts of speed-ups have been proved or could be expected, while exploiting a quantum linear solver as a subroutine, for tasks ranging from solving PDEs to sampling from Gibbs distributions.
Join the seminar on Zoom or in QNC 1201!
Meeting link: IQC Student Seminar
The possibility for quantum computers to outcompete classical high-performance computers at their own game looms tantalizingly on the horizon. The main obstacle to performing large-scale computations remains the cascade of small inaccuracies on individual components throughout large quantum circuits. Since the 1990s, techniques have been invented for suppressing these errors, principally within academia.
In optical quantum communication and information protocols, it is important to have access to a high dimensional Hilbert space. The energy-time degree of freedom of photons may be used to access such a Hilbert space, as long as accurate measures of frequency and time of single photons are possible. With ultrafast timescales, it is known how to measure the phase of an electric field as a function of time, but new techniques are required for the low power, single photon regime.
In the last decade, topological superconductors have enjoyed enormous interest due to their possible application in quantum computing, as well as the relative accessibility of recipes claiming to realize this novel form of matter without use of exotic materials.
Quantum computers are one of the central pillars of quantum information science. However, designing them is a daunting task that will require the implementation of fault-tolerant protocols and quantum error-correcting codes. In this talk, I will present a realistic and resource-efficient approach to building scalable quantum computers based on topological quantum codes.
Event update: This event will be offered virtually.
The National Research Council of Canada is developing a new challenge program for Applied Quantum Computing. Phil Kaye, Program Director, will provide an overview of the program and share more information about how to get involved.
Quantum error correction is an indispensable ingredient for scalable quantum computing. We discuss a particular class of quantum codes called "quantum low-density parity-check (LDPC) codes." The codes we discuss are alternatives to the surface code, which is currently the leading candidate to implement quantum fault tolerance. We discuss the zoo of quantum LDPC codes and discuss their potential for making quantum computers robust with regard to noise.