Media Summary: Workshop on Quantum Information and Physics Topic: Speaker: Isaac Chuang, Professor of Physics , Professor of Electrical Engineering, Senior Associate Dean of Digital Learning, MIT ... Recorded 24 January 2022. Andras Gilyen of the Renyi Institute of Mathematics presents "

Quantum Algorithms Ewin Tang - Detailed Analysis & Overview

Workshop on Quantum Information and Physics Topic: Speaker: Isaac Chuang, Professor of Physics , Professor of Electrical Engineering, Senior Associate Dean of Digital Learning, MIT ... Recorded 24 January 2022. Andras Gilyen of the Renyi Institute of Mathematics presents " Recorded 12 September 2023. Yu Tong of the University of California, Berkeley, presents "The Heisenberg limit and early ...

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Quantum Algorithms - Ewin Tang
Part 1 Quantum and quantum-inspired linear algebra | Ewin Tang (University of Washington)
Ewin Tang - On quantum linear algebra for machine learning - IPAM at UCLA
On quantum linear algebra for machine learning, presented by Ewin Tang, University of Washington
Ewin Tang - A Dobrushin condition for quantum Markov chains - IPAM at UCLA
A Classical Algorithm Framework for Dequantizing Quantum Machine Learning
On Quantum Linear Algebra for Machine Learning | Quantum Colloquium
Algorithms and Complexity for Quantum Computing
Isaac Chuang - Grand unification of quantum algorithms
Andras Gilyen - Quantum Algorithms for Quantum Information Processing Tasks - IPAM at UCLA
Ewin Tang: Building a classical framework to analyze quantum machine learning speedups
Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 1/2 - IPAM at UCLA
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Quantum Algorithms - Ewin Tang

Quantum Algorithms - Ewin Tang

Workshop on Quantum Information and Physics Topic:

Part 1 Quantum and quantum-inspired linear algebra | Ewin Tang (University of Washington)

Part 1 Quantum and quantum-inspired linear algebra | Ewin Tang (University of Washington)

Quantum

Ewin Tang - On quantum linear algebra for machine learning - IPAM at UCLA

Ewin Tang - On quantum linear algebra for machine learning - IPAM at UCLA

Recorded 25 January 2022.

On quantum linear algebra for machine learning, presented by Ewin Tang, University of Washington

On quantum linear algebra for machine learning, presented by Ewin Tang, University of Washington

We will discuss

Ewin Tang - A Dobrushin condition for quantum Markov chains - IPAM at UCLA

Ewin Tang - A Dobrushin condition for quantum Markov chains - IPAM at UCLA

Recorded 13 January 2026.

A Classical Algorithm Framework for Dequantizing Quantum Machine Learning

A Classical Algorithm Framework for Dequantizing Quantum Machine Learning

Ewin Tang

On Quantum Linear Algebra for Machine Learning | Quantum Colloquium

On Quantum Linear Algebra for Machine Learning | Quantum Colloquium

Ewin Tang

Algorithms and Complexity for Quantum Computing

Algorithms and Complexity for Quantum Computing

Are

Isaac Chuang - Grand unification of quantum algorithms

Isaac Chuang - Grand unification of quantum algorithms

Speaker: Isaac Chuang, Professor of Physics , Professor of Electrical Engineering, Senior Associate Dean of Digital Learning, MIT ...

Andras Gilyen - Quantum Algorithms for Quantum Information Processing Tasks - IPAM at UCLA

Andras Gilyen - Quantum Algorithms for Quantum Information Processing Tasks - IPAM at UCLA

Recorded 24 January 2022. Andras Gilyen of the Renyi Institute of Mathematics presents "

Ewin Tang: Building a classical framework to analyze quantum machine learning speedups

Ewin Tang: Building a classical framework to analyze quantum machine learning speedups

An invited talk by

Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 1/2 - IPAM at UCLA

Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 1/2 - IPAM at UCLA

Recorded 12 September 2023. Yu Tong of the University of California, Berkeley, presents "The Heisenberg limit and early ...

Quantum Algorithms -- An Overview of Techniques

Quantum Algorithms -- An Overview of Techniques

András Gilyén (Caltech) https://simons.berkeley.edu/talks/tbd-117 The