Core Architecture¶

QuantumProgram is the abstract base shared by every quantum algorithm in Divi. VariationalQuantumAlgorithm extends it with the variational-parameter machinery used by VQE, QAOA, PCE, and CustomVQA. SolutionEntry is the uniform return type for decoded solutions.

divi.qprog Package¶

`AggregationStrategy`()	Combines per-partition candidates into scored global solutions.
`BeamSearchStrategy`([beam_width, ...])	Left-to-right beam search over partitions.
`HierarchicalStrategy`([group_size, ...])	Divide-and-conquer beam that delays cross-group commitment.
`ObservableMeasuringMixin`(*args[, ...])	Mixin adding measurement-stage configuration to a quantum program.
`QuantumProgram`(backend[, seed, ...])	Abstract base class for quantum programs.
`SolutionEntry`(bitstring, prob[, decoded, energy])	A solution entry with bitstring, probability, and optional decoded value.
`SolutionSamplingMixin`(*args[, ...])	Adds the discrete-solution-sampling capability to a quantum program.
`VariationalQuantumAlgorithm`(backend[, ...])	Base class for variational quantum algorithms.

Represent a PEP 604 union type

ParamHistoryMode¶: Accepted values for param_history(): "all_evaluated" returns every parameter vector seen during optimization; "best_per_iteration" returns only the best vector from each iteration. alias of Literal[‘all_evaluated’, ‘best_per_iteration’]