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Quantum Simulations

INVITED · S43 · ID: 21799

Presentations

  • Matrix-product-state methods for non-Markovian models

    ORAL · Invited

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    Publication: [1] Efficient non-Markovian quantum dynamics using time-evolving matrix product operators. A. Strathearn, P. Kirton, D. Kilda, J. Keeling, B. W. Lovett. Nature Commun. 9, 3322 (2018) <br><br>[2] Exploiting the causal tensor network structure of quantum processes to ef-<br>ficiently simulate non-markovian path integrals, M. R. Jørgensen and F. A. Pollock, Phys. Rev. Lett. 123, 240602 (2019).<br><br>[3] Efficient exploration of hamiltonian parameter space for optimal control of non-markovian open quantum systems. G. E. Fux, E. P. Butler, P. R. Eastham, B. W. Lovett, J. Keeling, Phys. Rev. Lett. 126, 200401 (2021).<br><br>[4] Efficient many-body non-Markovian dynamics of organic polaritons. P. Fowler-Wright, B. W. Lovett, J. Keeling, in preparation<br><br>[5] Thermalization of a spin chain with strong environment coupling. G. E. Fux, D. Kilda, B. W. Lovett, J. Keeling, in preparation<br><br>[6] Numerically-exact simulations of arbitrary open quantum systems using automated compression of environments. M. Cygorek, M. Cosacchi, A. Vagov, V. M. Axt, B. W. Lovett, J. Keeling, E. M. Gauger<br><br>[7] The TEMPO collaboration, TimeEvolvingMPO: A Python 3 package to efficiently compute non-Markovian open quantum systems. (2020).<br>

    Presenters

    • Jonathan Keeling

      Univ of St Andrews

    Authors

    • Jonathan Keeling

      Univ of St Andrews

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