This paper presents two novel extensions of the Quantum Soft Set framework by integrating the hierarchical structures of hypersoft and superhypersoft sets with quantum superposition principles. Soft sets offer a versatile approach to decision making by associating parameters with subsets of a universal set, effectively capturing uncertainty and imprecision [1, 2]. Hypersoft and superhypersoft sets further generalize this paradigm for increasingly complex scenarios. A Quantum Soft Set maps each parameter to a normalized quantum state [3], enabling probabilistic membership via amplitude coefficients. We rigorously define the Quantum Hypersoft Set and the Quantum SuperHypersoft Set, laying a foundation for future advances in quantum-enhanced decision analysis, topological modeling, and algebraic applications.