Function findOptimalIterations

findOptimalIterations(
    numQubits: number,
    oracle: AmplitudeOracle,
    targetProbability: number,
    statePreparation?: StatePreparation,
    maxIterations?: number,
): number
Finds the optimal number of iterations for a given target success probability.

Uses binary search to find the number of iterations that achieves the closest success probability to the target.
Parameters
- numQubits: number
  Number of qubits in the system
- oracle: AmplitudeOracle
  Oracle function identifying marked states
- targetProbability: number
  Desired success probability (0 to 1)
- OptionalstatePreparation: StatePreparation
  Optional custom state preparation
- maxIterations: number = 100
  Maximum iterations to consider (default: 100)
Returns number
Optimal number of iterations
- Defined in src/algorithms/QAA.ts:396