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Andras Gilyen - Quantum algorithmic tools for simulating open quantum systems - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Andras Gilyen - Quantum Algorithms for Quantum Information Processing Tasks - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Xiantao Li - Open quantum systems in quantum computing - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Ruizhe Zhang - Quantum Speedups of Continuous Sampling and Optimization Problems - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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András Gilyén - Efficient quantum metropolis algorithms Channel : Riverlane |
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Jens Palsberg - Introduction to Quantum Algorithms - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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András Gilyén - Lecture 1 - Quantum Machine Learning Channel : Quantum Information @ RUB |
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András Gilyén: “Quantum Generalizations of Glauber and Metropolis Dynamics” Channel : Institute for Robust Quantum Simulation |
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Overview of Quantum Algorithmic Tools Channel : Simons Institute |
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Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Srinivasan Arunachalam - Overview of learning structured quantum states - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Hsin-Yuan Huang (Robert) - Classical ML for quantum problems - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Rolando Somma - The Quantum Linear Systems Problem - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Iordanis Kerenidis - New results in quantum linear algebra - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Wojciech Samek - Concept-Level Explainable AI - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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Jan Hermann - Neural-network wave functions for quantum chemistry - IPAM at UCLA Channel : Institute for Pure & Applied Mathematics (IPAM) |
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