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Codes for calculating observables from Influence matrices

Dense Exact diagonalization

Mainly usefull for testing the other approaches; Should support all observables, but limited in time/system size

  • ising-type interaction mps/mpo
  • brickwork mps/mpo

Free fermions

If the system is non-interacting one can calculate observables in polynomic time.

Sparse Exact diagonalization

Benchmark for approximative methods, Usefull in regimes where those approximations don't work well

Matrix Product states using tenpy

Efficient approximations near low entanglement points

  • ising-type interaction mps/mpo
  • brickwork mps/mpo

Shallow bath

Calculate influence matrix elements using the quantum echo representation works only for short systems but for long times

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