Combining the Grassmann algebra and tensor network: a new method to study strongly correlated fermionic systems
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Abstract
We introduce a new kind of numerical method to treat strongly correlated fermionic/electronic systems. By combining Grassmann algebra with tensor network/tensor product state methods, we may obtain methods that are general, unbiased, and highly effective. We will show benchmark GMERA calculations and new developments in the study of the t-J model.
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