MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133235 A) filed by Sandi Sunanda; Rayala Suresh Babu; G. Sneha; K. Nikhitha; K. Anuhya; and G. Amogha Reddy, Ibrahimpatnam, Telangana, on Dec. 29, 2025, for 'reconfigurable fpga-based hardware accelerator with integrated quantum repeater and federated ml for real-time quantum key distribution in edge iot devices.'
Inventor(s) include Sandi Sunanda; Rayala Suresh Babu; G. Sneha; K. Nikhitha; K. Anuhya; and G. Amogha Reddy.
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: "The invention discloses a reconfigurable FPGA-based hardware accelerator for real-time Quantum Key Distribution (QKD) in resource-constrained edge Internet of Things (IoT) devices, tackling quantum vulnerabilities in cyber-physical systems. It features quantum repeater modules for on-chip entanglement purification and adaptive routing, extending ranges 100km; federated ML for distributed QBER prediction and resource allocation (e.g., via FedAvg); and PDR for protocol switching in 5ms. Silicon photonics with SPADs support 1 Mbps keys at 50mW, with TEE for PQC fallbacks like Kyber. Novelties include ML-optimized repeater routing and federated privacy, yielding 6x efficiency and scalability for 200+ node meshes with 2% loss. Qiskit simulations show 275% throughput in noisy scenarios, advancing quantum-safe 6G and vehicular networks. To elaborate, the accelerator addresses core QKD challenges-decoherence, limited range, and high resource demands-through an integrated FPGA design that embeds modular cores for photon handling, error correction, and repeater operations. The quantum repeater enables entanglement swapping and purification without external hardware, using ML-driven algorithms to route resources dynamically in noisy channels, achieving 100 km coverage in IoT meshes. Federated ML ensures privacy by training local QBER models on edge data and aggregating parameters centrally, reducing errors by 35-40% and adapting to environmental variances. PDR facilitates rapid reconfiguration for protocols like BB84 or decoy-state, minimizing downtime to sub-5 ms based on predictive analytics. The silicon photonics layer, with SPAD detectors, optimizes key generation at ultra-low power ( 50 mW), ideal for battery-constrained devices. Hybrid TEE integration allows seamless fallback to NIST-compliant PQC during quantum disruptions. Prior art, such as US12034490 (2025), lacks repeater-ML synergy, resulting in higher latency and centralization risks. This invention's decentralized approach supports 200+ nodes with 2% key loss, validated by Qiskit simulations of 10^8 pulses yielding 1 Mbit secure keys. Commercial applications span 6G V2X, smart grids, and healthcare, offering 275% key rate gains (400 kbps to 1.5 Mbps) and 75% latency reductions, positioning it as a cornerstone for post-quantum edge security."
Disclaimer: Curated by HT Syndication.
