Compression of Correlation Matrices and an Efficient Method for Forming Matrix Product States of Fermionic Gaussian States
Matthew T. Fishman, Steven R. White

TL;DR
This paper introduces a stable, efficient method for compressing correlation matrices of fermionic Gaussian states into local unitary gates, enabling rapid formation of matrix product states and related tensor network structures.
Contribution
It presents a novel, numerically stable procedure for correlation matrix compression into local unitaries, facilitating efficient MPS and MERA construction for fermionic Gaussian states.
Findings
Efficient compression of correlation matrices into local unitaries.
Successful application to fermionic Gaussian states including BCS states.
Demonstration on the Su-Schrieffer-Heeger model.
Abstract
Here we present an efficient and numerically stable procedure for compressing a correlation matrix into a set of local unitary single-particle gates, which leads to a very efficient way of forming the matrix product state (MPS) approximation of a pure fermionic Gaussian state, such as the ground state of a quadratic Hamiltonian. The procedure involves successively diagonalizing subblocks of the correlation matrix to isolate local states which are purely occupied or unoccupied. A small number of nearest neighbor unitary gates isolates each local state. The MPS of this state is formed by applying the many-body version of these gates to a product state. We treat the simple case of compressing the correlation matrix of spinless free fermions with definite particle number in detail, though the procedure is easily extended to fermions with spin and more general BCS states (utilizing the…
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