BosonSamplingDistribution <: OutputMeasurementType

Container holding the entire boson sampling distribution for a given type of parameters, input, etc.

mutable struct BosonSamplingThresholdDistribution <: OutputMeasurementType <: OutputMeasurementType

Container holding the entire boson sampling distribution for a given type of parameters, input, etc with threshold detectors.

DarkCountFockSample(p)

Same as FockSample but each output mode has an extra probability p of giving a positive reading no matter if there is genuinely a photon.

FockDetection(s::ModeOccupation)

Measuring the probability of getting the ModeOccupation s at the output.

Fields:
    - s::ModeOccupation

FockSample <: OutputMeasurementType

Container holding a sample from typical boson sampler.

MultipleCounts()
MultipleCounts(counts, proba)

Holds something like the photon counting probabilities with their respective probability (in order to use them as a single observation). Can be declared empty as a placeholder.

Fields:
- counts::Union{Nothing, Vector{ModeOccupation}, Vector{PartitionOccupancy}, Vector{ThresholdModeOccupation}},
- proba::Union{Nothing,Vector{Real},Vector{Int}}

!!! Warning:

The naming of `proba` and `counts` was done at a much earlier stage of the project. Understand `counts` as detector readings. `proba` can hold either probabilites or also number of times an event was observed.

PartitionCountsAll(part::Partition)

Measuring all possible counts probabilities in the partition part.

Fields:
    - part::Partition

PartitionSample <: OutputMeasurementType

Container holding a sample from Partition photon count.

RealisticDetectorsFockSample(p_dark::Real, p_no_count::Real)

Same as DarkCountFockSample with the added possibility that no reading is observed although there is a photon. This same probability also removes dark counts (first a dark count sample is generated then readings are discarded with probability p_no_count).

StateMeasurement

Type trait to know which kind of state the detectors will measure, such as Fock or Gaussian.

ThresholdFockDetection(s::ThresholdModeOccupation)

Measuring the probability of getting the ThresholdModeOccupation s at the output.

Fields:
    - s::ThresholdModeOccupation

function all_threshold_detections(n, m; only_photon_number_conserving = true)

Return all possible ThresholdFockDetection for n modes and m photons.

function all_threshold_mode_occupations(n, m; only_photon_number_conserving = true)

Return all possible ThresholdModeOccupation for n modes and m photons.

convertstatetonary_number(state::Vector{Int64}, n)

Convert a vector of integers into a binary number. The first element of the vector is the least significant bit. This gives a hash function for a vector of integers.

Need to give n = the number of input photons.

to_proba!(mc::MultipleCounts)

Converts a MultipleCounts which has count values (Int) of detector observations into a relative proba of each observation (renormalize).

to_threshold(mc::MultipleCounts)

Transforms a MultipleCounts into the equivalent for threshold detectors.