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Norbert Schuch - Tensor networks and the negative sign problem - IPAM at UCLA
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Tensor Networks Workshop 2024
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- 1 Roman Orus - News on tensor Networks for machine learning and quantum computing simulation
- 2 Chia-Yu Chang - Border subrank of tensors - IPAM at UCLA
- 3 Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA
- 4 Yuehaw Khoo - High-dimensional PDEs, tensor-network, and convex optimization - IPAM at UCLA
- 5 Feng Pan - Arbitrary Tensor Network Algorithm: Theory, Methods and Applications - IPAM at UCLA
- 6 Norbert Schuch - Tensor networks and the negative sign problem - IPAM at UCLA
- 7 Thomas Barthel - Quantum sim of condensed matter using Trotterized entanglement renormalization
- 8 Joseph Landsberg - Geometry of tensor networks and tensor invariants - IPAM at UCLA
- 9 Jingmei Qiu - Conservative Adaptive Rank Integrators for Nonlinear Kinetic Models - IPAM at UCLA
- 10 Mathias Oster - Solving High-Dimensional Optimal Control Problems w/ Empirical Tensor Train Approx.
- 11 Fabian Faulstich - Tailoring coupled cluster theory with matrix product states - IPAM at UCLA
- 12 Benjamin Villalonga - Benchmarking NISQ and QEC experiments with tensor networks - IPAM at UCLA
- 13 Carolin Wille - Topological Dualities from Matchgate Tensor Networks - IPAM at UCLA
- 14 Steve White - The strange energy spectrum of approximate matrix product ground states - IPAM at UCLA
- 15 Elisa Ercolessi - Hybrid Variational Algorithms for Classical and Quantum Complex Systems
- 16 Ion Nechita - Monogamy of highly symmetric states - IPAM at UCLA
- 17 Grigoris Paouris - Small ball probabilities for random tensors and analysis of tensor decompositions
- 18 Jeroen Zuiddam - Discreteness of asymptotic tensor ranks - IPAM at UCLA
- 19 Liza Rebrova - Memory-efficient modewise measurements for tensor compression and recovery
- 20 Alessandra Bernardi - Defective tensor network varieties - IPAM at UCLA
