Feature/example expansion: anneal_offset and embedding examples #31
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randomir
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randomir
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The embedding example is in a decent shape, but the shimming one doesn't run currently, and some clean-up is required. Also, please add release notes.
| solver: dict | str | None = None, | ||
| detector_line: int = 0, | ||
| source_line: int = 3, | ||
| biclique_target_lines: set = {0, 3}, |
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Avoid mutable default values, even in examples.
| } | ||
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| def loop_pos(n, n_range): | ||
| if type(n) is tuple: |
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Less strict (allows tuple subclasses):
| if type(n) is tuple: | |
| if isinstance(n, tuple): |
| draw_parallel_embeddings(T, embeddings=[emb], S=S, node_color=node_color) | ||
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| print( | ||
| "Identify nodes that are each attached to atleast one source and one" |
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| "Identify nodes that are each attached to atleast one source and one" | |
| "Identify nodes that are each attached to at least one source and one" |
| m = 8 | ||
| print( | ||
| "Embed a K_{m,m} on two lines, with detectors on the other four lines." | ||
| f"m={m} for this example." |
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| f"m={m} for this example." | |
| f" m={m} for this example." |
| target_graph = nx.from_edgelist([(i, j) for i in range(m) for j in range(m, 2 * m)]) | ||
| S, Snode_to_td = make_tds_graph(target_graph, sourced_nodes=[]) # No source nodes. | ||
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| def T_line_assignments(n: int): |
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Best to avoid function redefinition in the same scope (for clarity/readability).
| solver: Name of the solver, or dictionary of characteristics. | ||
| line_detector: The integer index of the detector line. | ||
| line_source: The integer index of the source line. | ||
| print('A variety of plots are shown to demonstrate heuristic correction of ' | ||
| 'flux_biases on detectors, and target qubit frequency ' | ||
| 'desynchronization, from small amounts of data. ') | ||
| if args.delay_max_fit is None: |
| import argparse | ||
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| import pickle | ||
| import pandas as pd |
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Should add pandas to examples/requirements.txt.
| qpu_parameters["x_schedule_delays"][ | ||
| line_detector | ||
| ] = 0.1 # Documented limit. | ||
| with open("DebugForBrendand.pkl", "wb") as f: |
| if use_cache: | ||
| os.makedirs(os.path.dirname(fn_cache), exist_ok=True) | ||
| with open(fn_cache, "wb") as f: | ||
| pickle.dump((flux_biases, flux_history, mag_history), f) |
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File system side-effects should be documents. Maybe even provide a flag to turn them off (or default to off).
2 participants
Expand the embedding example.
Add example for anneal_offset and flux_biases shimming in multi-color annealing context.
This pull request replaces #29