Product Wave Function Renormalization Group : Construction from the Matrix Product Point of View(General)
スポンサーリンク
概要
- 論文の詳細を見る
We present a construction of a matrix product state (MPS) that approximates the largest-eigenvalue eigenvector of a transfer matrix T of a two-dimensional classical lattice model. A state vector created from the upper or the lower half of a finite size cluster approximates the largest-eigenvalue eigenvector. Decomposition of this state vector into the MPS gives a way of extending the MPS recursively. The extension process is a special case of the product wave function renormalization group (PWFRG) method, that accelerates the numerical calculation of the infinite system density matrix renormalization group (DMRG) method. As a result, we successfully give the physical interpretation of the PWFRG method, and obtain its appropriate initial condition.
- 社団法人日本物理学会の論文
- 2006-01-15
著者
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西野 友年
神戸大理
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GENDIAR Andrej
Institute of Electrical Engineering, Slovak Academy of Sciences
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OKUNISHI Kouichi
Department of Physics, Niigata University
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NISHINO Tomotoshi
Department of Physics, Graduate School of Science, Kobe University
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Okunishi K
Osaka Univ. Suita Jpn
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Okunishi Kouichi
Department Of Physics Faculty Of Science Niigata Univeristy
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UEDA Kouji
Department of Physics, Faculty of Science, Kobe University
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HIEIDA Yasuhiro
Computer and Network Center, Saga University
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DERIAN Rene
Institute of Physics, Slovak Academy of Sciences
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Derian Rene
Institute Of Physics Slovak Academy Of Sciences
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Ueda Kouji
Department Of Physics Graduate School Of Science Kobe University
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Gendiar Andrej
Institute Of Electrical Engineering Slovak Academy Of Sciences
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Nishino Tomotoshi
Department Of Physics Faculty Of Science Kobe University
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Hieida Yasuhiro
Computer And Network Center Saga University
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NISHINO Tomotoshi
Department of Physics, Faculty of Science, Kobe University
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OKUNISHI Kouichi
Department of Applied Physics, Graduate School of Engineering Osaka University
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OKUNISHI Kouichi
Department of Physics, Faculty of Science, Niigata University
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