Matrix Product States with adaptive global symmetries

Abstract

Quantum many body physics simulations with Matrix Product States can often be accelerated if the quantum symmetries present in the system are explicitly taken into account. Conventionally, quantum symmetries have to be determined before hand when constructing the tensors for the Matrix Product States algorithm. In this work, we present a Matrix Product States algorithm with an adaptive $U(1)$ symmetry. This algorithm can take into account of, or benefit from, $U(1)$ or $Z_2$ symmetries when they are present, or analyze the non-symmetric scenario when the symmetries are broken without any external alteration of the code. To give some concrete examples we consider an XYZ model and show the insight that can be gained by (i) searching the ground state and (ii) evolving in time after a symmetry-changing quench. To show the generality of the method, we also consider an interacting bosonic system under the effect of a symmetry-breaking dissipation.

arXiv comment9 pages, 4 figures

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Cited by in corpus (6)

• Classical simulation of lossy boson sampling using matrix product operators
• Simulating lossy Gaussian boson sampling with matrix product operators
• Simulating Lindbladian evolution with non-abelian symmetries: Ballistic front propagation in the $SU(2)$ Hubbard model with a localized loss
• Density Matrix Renormalization Group Algorithm For Mixed Quantum States
• Non-equilibrium boundary driven quantum systems: models, methods and properties
• Symmetry resolved out-of-time-order correlators of Heisenberg spin chains using projected matrix product operators