Closed shinich1 closed 3 months ago
Perhaps only consider either s or t feedforward for arrows as there may be too many of them.
Comment on this part, s(X correction) is equal to g and t(Z correcion) is equal to Oddneighbor(g), so, in this context, arrows should be s signals(see thm. 2 in Generalized Flow and Determinism in Measurement-based Quantum Computation)
We can construct a function like get_gflow_from_pattern
that collects all s signals or X corrections from pattern.
Is your feature request related to a problem? Please describe. Current visualization tool is based on the flow or gflow obtained from the
graphix.gflow.flow
orgraphix.gflow.gflow
functions, which may have different feedforward structure from the pattern itself.Describe the feature you'd like Add an option to visualize the feedforward structure according to pattern, not from flow or gflow. This can be done by obtaining layers from
Pattern.get_layers
and then constructing the arrows according to the feedforward part of measurement commands. Perhaps only consider either s or t feedforward for arrows as there may be too many of them.Additional context