QuantumProgramResult
class samplomatic.quantum_program.QuantumProgramResult(data: Sequence[dict[str, ndarray] | QuantumProgramItemResult], passthrough_data: list[list[DataTree] | dict[str, DataTree] | ndarray[float] | str | float | int | bool | None] | dict[str, list[DataTree] | dict[str, DataTree] | ndarray[float] | str | float | int | bool | None] | ndarray[float] | str | float | int | bool | None = None)
Bases: object
A container to store results from executing a QuantumProgram.
Parameters
- data – A list of dictionaries with array-valued data.
- passthrough_data – Arbitrary nested data passed through execution without modification.
Attributes Summary
Column 1 | Column 2 |
|---|---|
timing | Execution timing information of these results. |
Attributes Documentation
timing
Execution timing information of these results.
A single executor job may be broken up into chunks of work that are executed serially. This property stores information about their timing. Most notably, for each chunk of execution, a start and stop timestamp are provided that bound the window in which the data was collected.
To draw the timings for a single result:
job.result().timing.draw()To draw the timings for several results on one plot:
from samplomatic.visualization.draw_chunk_timings import draw_chunk_timings
draw_chunk_timings(
job1.result().timing,
job2.result().timing,
names=["job 1", "job 2"],
common_start=True,
)Returns
A ChunkTiming collection.