MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521130704 A) filed by Symbiosis International, Pune, Maharashtra, on Dec. 23, 2025, for 'system and method for breast cancer diagnosis using quantum variational classifiers with feature encoding.'
Inventor(s) include Dr. Shreyas Rajendra Hole.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A computer-implemented system for breast cancer diagnosis using quantum machine learning is disclosed. The system comprises a processor, a memory, and a quantum computing backend. The system receives medical diagnostic data comprising cell morphology features extracted from fine needle aspirate images including radius, texture, perimeter, area, smoothness, compactness, concavity, concave points, symmetry, and fractal dimension measurements. The system transforms the medical data into quantum states using ZZFeatureMap encoding that applies Hadamard gates, phase rotations, and controlled-phase gates creating pairwise entanglement between features. The system processes encoded quantum states through parameterized variational quantum circuits comprising RealAmplitudes or EfficientSU2 ansatze with rotation gates and controlled gates arranged in layered structures. The system optimizes circuit parameters using COBYLA gradient-free optimization that iteratively minimizes classification loss through linear approximations of the loss landscape. The system classifies tissue samples as benign or malignant by comparing expectation values computed from quantum measurements against classification thresholds. The system provides technical advancement through quantum feature encoding enabling correlation representation and variational circuit architectures offering enhanced expressivity for medical diagnostic classification."
Disclaimer: Curated by HT Syndication.
