Gaussian matrix product states cannot efficiently describe critical systems

• URL: http://arxiv.org/abs/2204.02478v1
• Date: Tue, 5 Apr 2022 20:26:56 GMT
• Title: Gaussian matrix product states cannot efficiently describe critical systems
• Authors: Adri\'an Franco-Rubio and J. Ignacio Cirac
• Abstract summary: We show, for a simple critical model of free hopping fermions, that any GfMPS approximation to its ground state must have bond dimension scaling superpolynomially with the system size. We also provide numerical evidence that the required bond dimension is subexponential, and thus can still be simulated with moderate resources.
• Score: 0.913755431537592
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Gaussian fermionic matrix product states (GfMPS) form a class of ansatz quantum states for 1d systems of noninteracting fermions. We show, for a simple critical model of free hopping fermions, that: (i) any GfMPS approximation to its ground state must have bond dimension scaling superpolynomially with the system size, whereas (ii) there exists a non-Gaussian fermionic MPS approximation to this state with polynomial bond dimension. This proves that, in general, imposing Gaussianity at the level of the tensor network may significantly alter its capability to efficiently approximate critical Gaussian states. We also provide numerical evidence that the required bond dimension is subexponential, and thus can still be simulated with moderate resources.

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