Media Summary: This talk was part of the Thematic Programme on "Tensor Networks: Mathematical Structures and Novel Algorithms" held at the ... This is a recording of a talk held at "Random Tensors at CIRM" on March 14, 2022. Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical ...

Jens Eisert Some New Ideas - Detailed Analysis & Overview

This talk was part of the Thematic Programme on "Tensor Networks: Mathematical Structures and Novel Algorithms" held at the ... This is a recording of a talk held at "Random Tensors at CIRM" on March 14, 2022. Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical ... A colloquium talk held in Munich on February 16, 2022, on the question what we can do with near-term quantum simulators and ... Title: The Quest for Fault Tolerance: Should we give up right away? Everyone knows or believes large-scale quantum computing ... Muted you're still muted but i wasn't eating the talk was i no no no you won't need it you've got

This talk has been held at the conference Quantum 2022, organized and arranged by IOP and Wyss. This is a recording of a talk held in Erlangen on occasion of the conference on "Machine Learning for Quantum Technology" in ... This is a recorded dissemination talk held at the "Insights in Technology Conference" at the Schaffhausen Institute for Technology ... This is a talk held by Matthew Graydon (Waterloo) on Clifford groups not being 2- Check out courses about science, computer science, or math on Brilliant! First 30 days are free and 20% off the annual premium ... A talk held at CIE2021: Computability in Europe 2021 in Ghent on July 8, 2021.

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Jens Eisert - Some new ideas on tensor networks to capture entanglement in quantum many-body systems
Random tensor networks: From statistical mechanics over complexity to holography
Jens Eisert: "Learning dynamical laws from data in classical and quantum settings"
What can we do with quantum devices?
Munich Quantum Software Forum 2024: Quick Opinions with Jens Eisert and Austin Fowler
Jens Eisert: Making quantum computing for quantum chemistry more useful
A Single T gate Makes Distribution Learning Hard | Qiskit Seminar Series with Jens Eisert
Fundamental limits to quantum computation
Exploiting randomness in benchmarking beyond randomized benchmarking
Quantum machine learning
What do we do with quantum computers?
Jens Eisert, Chair of the Dahlem Center for Complex Quantum Systems of Freie Universität Berlin
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