MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641086868 A) filed by P Venkata Krishna on July 15, 2026, for A Low-Resource Two-Qubit Quantum Structural Interaction Layer And Hybrid System For Deterministic Sentence Comparison With Enhanced Interpretability And Technical Efficiency.
Inventors include P. V. Anand Krishna; M. Siva Parvathi; Bhavani Kumar Yellapragada; and P Venkata Krishna.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: Classical NLP approaches rely on high-dimensional embeddings and complex models with limited interpretability. Existing quantum natural language processing (QNLP) methods, such as categorical compositional models (DisCoCat), often require many qubits and parameterized circuits, making them unsuitable for NISQ-era hardware or edge deployment. There is a need for a minimal, deterministic, and interpretable quantum layer that captures structural sentence interactions via superposition and entanglement while demonstrating clear technical advantages (e.g., reduced qubit count, deterministic mapping, and direct geometric interpretability via Bloch sphere). The present invention addresses these gaps with a two-qubit architecture that exhibits technical effect in computational efficiency and explainability.
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