Munehisa Yasuko | Faculty Of Engineering University Of Yamanashi
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概要
関連著者
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Munehisa Tomo
Faculty Of Engineering University Of Yamanashi
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Munehisa Yasuko
Faculty Of Engineering University Of Yamanashi
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MUNEHISA Tomo
Faculty of Engineering, Yamanashi University
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MUNEHISA Yasuko
Fermi National Accelerator Laboratory, Theoretical Division
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MUNEHISA Tomo
Fermi National Accelerator Laboratory, Theoretical Division
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MUNEHISA Yasuko
Faculty of Engineering, Yamanashi University
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Munehisa Tomo
Faculty Of Engineering Yamanashi University
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Munehisa Yasuko
Faculty Of Engineering Yamanashi University
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Munehisa Tomo
Fermi National Accelerator Laboratory Theoretical Division
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Munehisa Y
Univ. Yamanashi Kofu
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Munehisa Yasuko
Fermi National Accelerator Laboratory Theoretical Division
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MANEHISA Tomo
Faculty of Engineering, Yamanashi University
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Manehisa Tomo
Faculty Of Engineering Yamanashi University
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Munehisa Yasuko
Faculty of Engineering,Yamanashi University
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Munehisa Yasuko
Faculty of Engineering, University of Yamanashi
著作論文
- An Attempt to Calculate Energy Eigenvalues in Quantum Systems of Large Sizes : Condensed Matter: Structure, etc.
- A New Approach to Stochastic State Selections in Quantum Spin Systems
- Study of Supersymmetric Particles in Decays of W Bosons : Particles and Fields
- A Recursive Method of the Stochastic State Selection for Quantum Spin Systems(Condensed Matter : Electronic Structure, Electrical, Magnetic and Optical Properties)
- Quantum Monte Carlo Study of an Extended Hubbard Model on a Two-Leg Ladder
- Study on Ground States of Quantum Spin Systems by Restructuring Method
- The Stochastic State Selection Method for Energy Eigenvalues in the Shastry-Sutherland Model (General)
- Re-Structuring Method for the Negative Sign Problem in Quantum Spin Systems : Condensed Matter and Statistical Physics
- Numerical Study of Excited States in the Shastry-Sutherland Model(Condensed Matter : Electric Structure, Electical, Magnetic and Optical Properties)
- Numerical Study of Excited States in the Shastry-Sutherland Model
- A Hybrid Method for Global Updates in Monte Carlo Study