MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097768 A) filed by Ram Soorat; Priyankaa; Afzalur Rahman; Ravindar Tadi; Kamil Reza K; Bhargav P P; and M. Purushottam Naidu on August 13, 2026, for A Hybrid Quantum-Classical Computing System And Method For Real-Time Prediction And Closed-Loop Optimization.
Inventors include Ram Soorat; Priyankaa; Afzalur Rahman; Ravindar Tadi; Kamil Reza K; Bhargav P P; and M. Purushottam Naidu.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: A hybrid quantum-classical computing system and method are disclosed for real-time prediction and closed-loop optimization using a single physical chassis integrating classical computing, low-latency hardware control, and a variational quantum processor. Incoming feature batches are statistically analyzed for dimensionality, sparsity, entropy, correlation, and matrix rank, and an adaptive encoding engine selects amplitude, angle, or Hamiltonian encoding using the analyzed data and live quantum calibration telemetry. Updated variational parameters are transferred from page-pinned classical memory directly to FPGA control registers through an operating- system-bypassing Direct Memory Access channel. A calibration-aware circuit generator maps logical operations to physical qubits using T1, T2, gate fidelity, and readout error data while avoiding degraded qubits. Raw quantum measurements undergo inline zero-noise extrapolation and readout assignment correction before prediction and loss evaluation. A continuous feedback controller adjusts optimization parameters and triggers recalibration when quantum error metrics exceed a predefined threshold.
Disclaimer: Curated by HT Syndication.
