QutipResult

class pulser_simulation.qutip_result.QutipResult(atom_order, meas_basis, state, matching_meas_basis, evaluation_time=1.0)

Bases: Result

Represents the result of a run as a Qutip QObj.

Parameters:

• atom_order (tuple[str, ...]) – The order of the atoms in the bitstrings that represent the measured states.

• meas_basis (str) – The measurement basis.

• state (Qobj) – The Qobj representing the state. Can be a statevector or a density matrix.

• matching_meas_basis (bool) – Whether the measurement basis is the same as the state’s basis.

Attributes

evaluation_time
sampling_dist	Sampling distribution of the measured bitstring.
sampling_errors	The sampling error associated to each bitstring's sampling rate.
total_duration
state
matching_meas_basis
meas_basis
atom_order

Methods

from_abstract_repr	Deserializes a Results object from json.
get_result	Get the a specific result at a given time.
get_result_tags	Get a list of results tags present in this object.
get_result_times	Get a list of times for which the given result has been stored.
get_samples	Takes multiple samples from the sampling distribution.
get_state	Gets the state with some optional post-processing.
get_tagged_results	Gets the results for every tag.
plot_histogram	Plots the result in an histogram.
to_abstract_repr	Serializes this object into a json string.

Signatures

classmethod from_abstract_repr(repr)

Deserializes a Results object from json.

Return type:

Results

Returns:

The deserialized Results object.

get_result(observable, time)

Get the a specific result at a given time.

Parameters:

• observable (Observable | str) – The observable instance used to calculate the result or its tag.

• time (float) – Relative time at which to get the result.

Return type:

Any

Returns:

The result.

get_result_tags()

Get a list of results tags present in this object.

Return type:

list[str]

get_result_times(observable)

Get a list of times for which the given result has been stored.

Parameters:

observable (Observable | str) – The observable instance used to calculate the result or its tag.

Return type:

list[float]

Returns:

List of relative times.

get_samples(n_samples)

Takes multiple samples from the sampling distribution.

Parameters:

n_samples (int) – Number of samples to return.

Return type:

Counter[str]

Returns:

Samples of bitstrings corresponding to measured quantum states.

get_state(reduce_to_basis=None, ignore_global_phase=True, tol=1e-06, normalize=True)

Gets the state with some optional post-processing.

Parameters:

• reduce_to_basis (str | None, default: None) – Reduces the full state vector to the given basis (“ground-rydberg”, “digital” or “XY”), if the population of the states to be ignored is negligible.

• ignore_global_phase (bool, default: True) – If True and if the final state is a vector, changes the final state’s global phase such that the largest term (in absolute value) is real.

• tol (float, default: 1e-06) – Maximum allowed population of each eliminated state.

• normalize (bool, default: True) – Whether to normalize the reduced state.

Return type:

Qobj

Returns:

The resulting state.

Raises:

TypeError – If trying to reduce to a basis that would eliminate states with significant occupation probabilites.

get_tagged_results()

Gets the results for every tag.

Return type:

dict[str, list[Any]]

Returns:

A mapping between a tag and the results associated to it, at every evaluation time.

plot_histogram(min_rate=0.001, max_n_bitstrings=None, show=True)

Plots the result in an histogram.

Parameters:

• min_rate (float, default: 0.001) – The minimum sampling rate a bitstring must have to be displayed.

• max_n_bitstrings (int | None, default: None) – An optional limit on the number of bitrstrings displayed.

• show (bool, default: True) – Whether or not to call plt.show() before returning.

Return type:

None

to_abstract_repr(skip_validation=False)

Serializes this object into a json string.

Numpy arrays and torch Tensors are converted into lists, and their original class is lost forever.

Parameters:

skip_validation (bool, default: False) – Whether to skip validating the json against the schema used for deserialization.

Return type:

str

Returns:

The json string

property sampling_dist: dict[str, float]

Sampling distribution of the measured bitstring.

Parameters:

• atom_order – The order of the atoms in the bitstrings that represent the measured states.

• meas_basis – The measurement basis.

property sampling_errors: dict[str, float]

The sampling error associated to each bitstring’s sampling rate.

Uses the standard error of the mean as a quantifier for sampling error.