4.6 Article

Exact matrix product solutions in the Heisenberg picture of an open quantum spin chain

期刊

NEW JOURNAL OF PHYSICS
卷 12, 期 -, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1367-2630/12/2/025005

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资金

  1. National Research Foundation
  2. Ministry of Education of Singapore
  3. ESF program EuroQUAM (EPSRC) [EP/E041612/1]
  4. EPSRC (UK) [GR/S82176/01, EP/E058256/1]
  5. European Commission
  6. EU [015848]
  7. Royal Society Wolfson Research Merit Award
  8. DFG [HA5593/1-1]
  9. Fundacion Seneca [05570/PD/07]
  10. Ministerio de Ciencia e Innovacion [FIS2009-13483-C02-02]
  11. Engineering and Physical Sciences Research Council [GR/S82176/01] Funding Source: researchfish

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In recent work, Hartmann et al (2009 Phys. Rev. Lett. 102 057202) demonstrated that the classical simulation of the dynamics of open 1D quantum systems with matrix product algorithms can often be dramatically improved by performing time evolution in the Heisenberg picture. For a closed system this was exemplified by an exact matrix product operator (MPO) solution of the time-evolved creation operator of a quadratic fermi chain with a matrix dimension of just two. In this work, we show that this exact solution can be significantly generalized to include the case of an open quadratic fermi chain subjected to master equation evolution with Lindblad operators that are linear in the fermionic operators. Remarkably even in this open system the time evolution of operators continues to be described by MPOs with the same fixed dimension as that required by the solution of a coherent quadratic fermi chain for all times. Through the use of matrix product algorithms the dynamical behaviour of operators in this non-equilibrium open quantum system can be computed with a cost that is linear in the system size. We present some simple numerical examples that highlight how useful this might be for the more detailed study of open system dynamics. Given that Heisenberg picture simulations have been demonstrated to offer significant accuracy improvements for other open systems that are not exactly solvable, our work also provides further insight into how and why this advantage arises.

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