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Spin-Boson Chain

spinbosonchain is a Python library for simulating the dynamics of a generalized spin-boson chain model, where both the z- and y-components of the spins are coupled to bosonic baths, rather than only the z-components. The library adopts the quasi-adiabatic path integral (QUAPI) formalism to express the spin system's reduced density matrix as a time-discretized path integral, comprising of a series of influence functionals that encode the non-Markovian dynamics of the system. The path integral is decomposed into a series of components that can be represented by tensor networks. spinbosonchain currently relies heavily on Google's TensorNetwork package for its implementation of tensor networks and related operations.

Setting up spinbosonchain

For instructions on installing the spinbosonchain library, see the :ref:`installation_instructions_sec` page.

Learning how to use spinbosonchain

For those new to the spinbosonchain library, it is recommended that they take a look at the :ref:`examples_sec` page, which contains some code examples that show how one can use the spinbosonchain library. While going through the examples, readers can consult the :ref:`reference_guide_sec` to understand what each line of code is doing in each example.

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