Full Name Perimeter Institute Recorded Seminar Archive
Institution Perimeter Institute

PIRSA is a permanent, free, searchable, and citable archive of recorded seminars from relevant bodies in physics. Every seminar, seminar series, and collection of seminars is given a unique number, the PIRSA#, which allows each specific seminar to be referenced. Since 2002 Perimeter Institute has been recording seminars, conference talks, and public outreach events such as talks from top scientists.

About Perimeter Institute

Perimeter Institute is a leading centre for scientific research, training and educational outreach in foundational theoretical physics. Founded in 1999 in Waterloo, Ontario, Canada, its mission is to advance our understanding of the universe at the most fundamental level, stimulating the breakthroughs that could transform our future. Perimeter also trains the next generation of physicists through innovative programs, and shares the excitement and wonder of science with students, teachers and the general public.

http://www.perimeterinstitute.ca/

Government of Canada - Government of Ontario

Talks from PIRSA

Title Speaker(s) Date Series/Collection Type Info
Vulnerability of quantum systems to adversarial perturbations Peter Wittek 2019‑07‑10 Machine Learning for Quantum Design Conference View details
Optimizing Quantum Optimization Stefan Leichenauer 2019‑07‑10 Machine Learning for Quantum Design Conference View details
The challenge to deliver high accuracy on large computer simulations Andrea Zen 2019‑07‑10 Machine Learning for Quantum Design Conference View details
Quantum scale anomaly and spatial coherence in a 2D Fermi superfluid Nicolo Defenu 2019‑07‑09 Machine Learning for Quantum Design Conference View details
Shortcuts in Real and Imaginary Time Timothy Hsieh 2019‑07‑09 Machine Learning for Quantum Design Conference View details
The Quantum Approximate Optimization Algorithm and spin chains Glen Mbend 2019‑07‑09 Machine Learning for Quantum Design Conference View details
Quantum Error Correction via Hamiltonian Learning Eliska Greplova 2019‑07‑09 Machine Learning for Quantum Design Conference View details
Simulating quantum circuits with neural machine translation Juan Carrasquilla 2019‑07‑09 Machine Learning for Quantum Design Conference View details
Integrating Neural Networks with a Quantum Simulator for State Reconstruction Evert van Nieuwenburg 2019‑07‑09 Machine Learning for Quantum Design Conference View details
Machine Learning Quantum Emergence from Complex Data Eun-Ah Kim 2019‑07‑09 Machine Learning for Quantum Design Conference View details
Navigating the quantum computing field as a high school student Tanisha Bassan 2019‑07‑08 Machine Learning for Quantum Design Conference View details
Alleviating the sign structure of quantum states Giacomo Torlai 2019‑07‑08 Machine Learning for Quantum Design Conference View details
Engineering Programmable Spin Interactions in a Near-Concentric Cavity Emily Davis 2019‑07‑08 Machine Learning for Quantum Design Conference View details
Designing a Quantum Transducer With Genetic Algorithms and Electron Transport Calculations Kevin Ryczko 2019‑07‑08 Machine Learning for Quantum Design Conference View details
Machine learning meets quantum physics Dong-Ling Deng 2019‑07‑08 Machine Learning for Quantum Design Conference View details
How to use a Gaussian Boson Sampler to learn from graph-structured data Maria Schuld 2019‑07‑08 Machine Learning for Quantum Design Conference View details
Simulating Thermal and Quantum Fluctuations in Materials and Molecules Michele Ceriotti 2019‑07‑08 Machine Learning for Quantum Design Conference View details
SDP / Quantum Lecture Series Jamie Sikora 2019‑07‑08 Scientific Series View details
Deep learning for quantum many-body physics or: Toolmaking beyond the papyrus complexity Giuseppe Carleo 2019‑07‑08 Machine Learning for Quantum Design Conference View details
Lecture 7: Factorization Algebras and the General Structure of QFT Kevin Costello 2019‑06‑28 QFT for Mathematicians Conference View details