2017
DOI: 10.1103/physrevb.96.115129
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Stable unitary integrators for the numerical implementation of continuous unitary transformations

Abstract: The technique of continuous unitary transformations has recently been used to provide physical insight into a diverse array of quantum mechanical systems. However, the question of how to best numerically implement the flow equations has received little attention. The most immediately apparent approach, using standard Runge-Kutta numerical integration algorithms, suffers from both severe inefficiency due to stiffness and the loss of unitarity. After reviewing the formalism of continuous unitary transformations … Show more

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Cited by 17 publications
(28 citation statements)
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“…We use flows to (almost) diagonalize a potentially dense matrix while keeping track of how much level repulsion has occured between the eigenstates associated with each pair of graph sites. As discussed in [29], one can monitor the level repulsion between two eigenvalues over the course of the flow using the Ξ metric defined elementwise, for a real Hamiltonian, as…”
Section: Wegner Flowsmentioning
confidence: 99%
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“…We use flows to (almost) diagonalize a potentially dense matrix while keeping track of how much level repulsion has occured between the eigenstates associated with each pair of graph sites. As discussed in [29], one can monitor the level repulsion between two eigenvalues over the course of the flow using the Ξ metric defined elementwise, for a real Hamiltonian, as…”
Section: Wegner Flowsmentioning
confidence: 99%
“…We utilized a high-efficiency stabilized third-order integrator to numerically implement the Wegner flow as detailed in [29]. By "third-order", we mean the accumulated error should scale approximately like the inverse cube of the number of unitary steps taken for a given τ max and error tolerance.…”
Section: Wegner Flowsmentioning
confidence: 99%
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“…Thirdly, the computational aspects of flow equations as applied to many-body systems have not historically received a great deal of attention (with notable exceptions, e.g. [32]): further developments and optimisations in coding and applying continuous unitary transforms could pave the way to a more widespread adoption of this method.…”
Section: Resultsmentioning
confidence: 99%