MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202631085105 A) filed by Subrata Jana; Md Jakir Hossain Molla; Ayan Shee; Archita Chatterjee; Bijita Biswas; Moumita Saha; Debasri Dey; Krishnakash Giri; Sharif Molla; and Sudipta Banerjee on July 11, 2026, for A Quantum-Inspired Mathematical Framework For Optimization And Probabilistic Computation.
Inventors include Subrata Jana; Md Jakir Hossain Molla; Ayan Shee; Archita Chatterjee; Bijita Biswas; Moumita Saha; Debasri Dey; Krishnakash Giri; Sharif Molla; and Sudipta Banerjee.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The invention relates to a quantum-inspired mathematical framework for solving deterministic and stochastic optimization problems through a hybrid computational model that incorporates principles inspired by quantum mechanics, including probabilistic state representation, superposition-inspired solution encoding, interference-based search mechanisms, and adaptive convergence strategies, without requiring quantum hardware. The invention further pertains to mathematical modelling and algorithmic design for high- dimensional optimization, uncertainty-aware decision-making, combinatorial optimization, machine learning, data analytics, engineering design optimization, financial modelling, logistics planning, and intelligent resource allocation. Specifically, the disclosed framework provides a unified mathematical architecture capable of representing multiple candidate solutions simultaneously using probabilistic state vectors and dynamically evolving these states through iterative transformation operators to identify globally optimal or near-optimal solutions with improved computational efficiency. Fig. 1
Disclaimer: Curated by HT Syndication.
