Dynamical zero modes, boundary dependence, and numerical instability in dynamical quantum phase transitions

• URL: http://arxiv.org/abs/2607.03438v1
• Date: Fri, 03 Jul 2026 15:51:04 GMT
• Title: Dynamical zero modes, boundary dependence, and numerical instability in dynamical quantum phase transitions
• Abstract summary: We show that boundary dependence is encoded in dynamical zero modes (DZMs) of the Loschmidt matrix.<n>These modes carry the boundary-dependent contribution: removing them from the open-boundary LRF recovers the periodic-boundary result.<n>We show that these DZMs lead to finite-precision numerical instability, since their finite-size singular values decay exponentially with system size.
• Score: 5.848808787058277
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Boundary conditions are usually expected to cause only finite-size corrections to bulk quantities, but this expectation can fail for dynamical quantum phase transitions. In this work, we show that such boundary dependence is encoded in dynamical zero modes (DZMs) of the Loschmidt matrix, which are defined as singular vectors whose singular values vanish in the thermodynamic limit. Using the Su-Schrieffer-Heeger (SSH) and extended SSH models as examples, we find that the time interval where the Loschmidt rate functions (LRFs) under periodic and open boundary conditions differ coincides with the emergence of DZMs in the open-boundary Loschmidt matrix. These modes carry the boundary-dependent contribution: removing them from the open-boundary LRF recovers the periodic-boundary result. We further show that these DZMs lead to finite-precision numerical instability, since their finite-size singular values decay exponentially with system size and eventually become unresolved in fixed-precision arithmetic. A reliable small-size branch before this loss of precision can be used to estimate the thermodynamic LRF by linear extrapolation. Our results identify DZMs as both a diagnostic of boundary-dependent LRFs and the origin of the associated numerical instability.

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