Quantum-based adaptive deep learning framework for securing network files

ChangeBridge: Patent Grants - Networking (H04L)

Published March 31st, 2026

Detected March 31st, 2026

Summary

USPTO granted Bank of America patent US12592961B2 for a quantum-computing based file remediation system using quantum generative adversarial networks (QGAN). The system receives network files, runs deep learning on quantum circuits when file attribute scores deviate from baselines, and generates remediated files. Assignee: Bank of America Corporation.

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What changed

USPTO granted patent US12592961B2 to Bank of America Corporation for quantum-based file security technology. The patent covers methods where a quantum file remediation program on a computer system with standard and N-qubit processors receives network files, initializes quantum circuits when file attribute scores deviate from baselines, runs a deep learning framework using QGAN to generate remediated files, and replaces original files upon session completion.

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Source document (simplified)

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Quantum-based adaptive deep learning framework for securing network files

Grant US12592961B2 Kind: B2 Mar 31, 2026

Assignee

Bank of America Corporation

Inventors

Usha Rani Alluru, Saurabh Gupta, Swathi Bussa, Shailendra Singh

Abstract

Apparatus and methods for quantum-computing based file remediation are provided. A quantum file remediation program on a computer system with a standard processor and an “N”-qubit processor may receive a network file. When a file attribute score determined on the standard processor deviates by more than a predetermined amount from a baseline score, the program may initialize a quantum circuit. A deep learning framework using a quantum generative adversarial network (QGAN) may run on the quantum circuit and generate a remediated file. When the QGAN session ends, the quantum circuit may be collapsed and the original network file may be replaced by the remediated file.