MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631019248 A) filed by Jis College Of Engineering, Kalyani, West Bengal, on Feb. 19, for '" a hybrid quantum-classical classification scheduler that uses reinforcement-learned pulse lattices".'
Inventor(s) include Mr. Subhodip Koley; Mr. Pronay Pal; Debasish Saha Roy; Kajal Kumari; Madhu Kumari; and Jit Ghosh.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "This invention reveals a hybrid quantum-classical control device. This device dynamically translates high-level quantum gates into microwave pulse lattices that have been learned through reinforcement learning for superconducting qubits while keeping their quantum state. Embedded graphics processing units (GPUs) follow a policy that constantly co-optimizes decoherence error and wall-clock latency by using live calibration data and real-time feedback. A high-bandwidth control bus sends updates to the qubit plane in less than a microsecond, and a two-dimensional time-frequency lattice representation lets you improve pulses on a shot-by-shot basis. The device is compatible with standard gate-level application programming interfaces (APIs) and can calibrate itself at the same time. This makes it a good choice for fault-tolerant quantum processors. This makes gate fidelity, throughput, and scalability a lot better."
Disclaimer: Curated by HT Syndication.
