arxivquant-phcs.CV2026-07-09
Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Preserving Analysis Across Heterogeneous Sensitive Datasets
B. M. Taslimul Haq, Md Arifur Rahman, Tawfiq Al Islam Foysal, Abdullah Al Noman, Abir Ahmed
Privacy-preserving clustering is critical for analyzing sensitive data in healthcare, cybersecurity, and enterprise applications, where maintaining data confidentiality must be balanced with analytical performance. This paper presents Equivariant Quantum Clustering (EQC), a param…