- update to 1.8.4:
  * support for numpy v2.0 and scipy v1.14
  * add MPS sampling: `MatrixProductState.sample_configuration`
    and `MatrixProductState.sample` (generating multiple samples)
    and use these for `CircuitMPS.sample` and
    `CircuitPermMPS.sample`.
  * add basic `.plot()` method for SimpleUpdate classes
  * add `edges_1d_chain` for generating 1D chain edges
  * operatorbuilder: better coefficient placement for long range
    MPO building
  * `TNOptimizer` can now accept an arbitrary pytree (nested
    combination of dicts, lists, tuples, etc. with
    `TensorNetwork`, `Tensor` or raw `array_like` objects as the
    leaves) as the target object to optimize.
  * `TNOptimizer` can now directly optimize `Circuit` objects,
    returning a new optimized circuit with updated parameters.
  * `Circuit`: add `.copy()`, `.get_params()` and `.set_params()`
    interface methods.
  * Update generic TN optimizer docs.
  * add `tn.gen_inds_loops` for generating all loops of indices
    in a TN.
  * add `tn.gen_inds_connected` for generating all connected sets
    of indices in a TN.
  * make SVD fallback error catching more generic ({pull}`#238`)
  * fix some windows + numba CI issues.
  * `approx_spectral_function` add plotting and tracking
  * add dispatching to various tensor primitives to allow
    overriding
  * `CircuitMPS` now supports multi qubit gates, including
    arbitrary multi-controls (which are treated in a low-rank

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