不要提吃饭
发表于 2025-3-21 18:48:06
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全神贯注于
发表于 2025-3-21 20:36:59
https://doi.org/10.1007/978-3-319-14252-4Award-winning PhD Thesis; Computational Many-body Physics Research; Matrix Product State Algorithms; Mo
种属关系
发表于 2025-3-22 04:10:02
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Formidable
发表于 2025-3-22 08:39:17
Matrix Product States: FoundationsThe bulk of the numerical results for many-body systems contained in this thesis are obtained by variational algorithms on a class of states known as matrix product states (MPSs).
Mammal
发表于 2025-3-22 11:43:50
The Infinite Size Variational Matrix Product State AlgorithmChapter . discusses algorithms using matrix product states (MPSs) as variational ansätze for finding eigenstates and time evolution of 1D quantum systems with a finite number of sites.
GAVEL
发表于 2025-3-22 15:33:53
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过剩
发表于 2025-3-22 19:57:35
Open Source Code DevelopmentThe purpose of this chapter is to describe two open source code projects in which the author has been involved.
一窝小鸟
发表于 2025-3-23 01:12:06
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天赋
发表于 2025-3-23 04:46:02
Conclusions and Suggestions for Future ResearchThis thesis presents models for the low-energy physics of molecules trapped in optical lattices and simulation methods to elucidate the many-body physics of these models in one dimension.
钢盔
发表于 2025-3-23 06:50:13
Michael L. WallNominated by the Colorado School of Mines, USA, as an outstanding Ph.D. thesis.Presents a newly invented Molecular Hubbard Hamiltonian (MHH) describing the quantum many-body physics of ultracold molec