Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA Published 2024-02-07 Download video MP4 360p Download video MP4 720p Recommendations 1:08:17 Roman Orus - News on tensor Networks for machine learning and quantum computing simulation 48:48 Jingmei Qiu - Conservative Adaptive Rank Integrators for Nonlinear Kinetic Models - IPAM at UCLA 1:04:48 Intelligent Thinking About Artificial Intelligence 53:38 Fabian Faulstich - Tailoring coupled cluster theory with matrix product states - IPAM at UCLA 53:22 Lecture 1: Algorithmic Thinking, Peak Finding 23:01 But what is a convolution? 50:36 Norbert Schuch - Tensor networks and the negative sign problem - IPAM at UCLA 55:31 Carolin Wille - Topological Dualities from Matchgate Tensor Networks - IPAM at UCLA 51:58 Thomas Barthel - Quantum sim of condensed matter using Trotterized entanglement renormalization 59:52 MIT 6.S191: Deep Generative Modeling 47:51 Terence Tao: Structure and Randomness in the Prime Numbers, UCLA 52:56 Yuehaw Khoo - High-dimensional PDEs, tensor-network, and convex optimization - IPAM at UCLA 50:05 6. Monte Carlo Simulation 1:21:09 Benjamin Villalonga - Benchmarking NISQ and QEC experiments with tensor networks - IPAM at UCLA 51:51 Advanced SIMD Algorithms in Pictures - Denis Yaroshevskiy - Meeting C++ 2023 43:53 Feng Pan - Arbitrary Tensor Network Algorithm: Theory, Methods and Applications - IPAM at UCLA 1:21:28 Lecture 01 - The Learning Problem 53:03 Elisa Ercolessi - Hybrid Variational Algorithms for Classical and Quantum Complex Systems 13:53 Math vs Physics - Numberphile 20:08 Fast Inverse Square Root — A Quake III Algorithm Similar videos 35:16 Di Fang - Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics - IPAM at UCLA 1:15:51 Di Fang - Quantum algorithms for dynamics simulation: differential equations - IPAM at UCLA 1:11:58 Di Fang - Quantum algorithms for dynamics simulation: Hamiltonian simulation & general differential 47:27 Yu Tong - Recent progress in Hamiltonian learning - IPAM at UCLA 51:00 Dong An - Linear combination of Hamiltonian simulation for non-unitary dynamics - IPAM at UCLA 13:20 Quantum Algorithms for Hamiltonian Simulation with Unbounded Operators 24:56 QIP 2022 | Hamiltonian simulation with random inputs (Qi Zhao) 38:35 Dong An - Improved complexity estimation for Hamiltonian simulation with Trotter formula 1:01:53 Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA 48:37 Di Fang - Time-marching strategy can work quantumly for differential equations - IPAM at UCLA 1:13:58 Quantum Algorithms for Hamiltonian Simulation | Quantum Colloquium 56:11 Lecture 15: Hamiltonian Simulation 53:01 Konstantina Trivisa - Efficient Quantum algorithms for linear and non-linear differential equations 20:01 Fall 2023 Info Session - Mathematical and Computational Challenges in Quantum Computing - IPAM UCLA 17:35 Q2B 2021 | Hamiltonian Simulation Algorithms for Near-Term Q. Hardware | Toby Cubitt | Phasecraft 49:04 Andras Gilyen - Quantum algorithmic tools for simulating open quantum systems - IPAM at UCLA 48:54 Anthony (Chi-Fang) Chen - “Quantum” Markov Chain Monte Carlo algorithm - IPAM at UCLA 1:06:08 Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 1/2 - IPAM at UCLA 44:44 Recent Advances in Quantum Simulation with Applications to Chemistry and Field Theory More results