Quantum-based adaptive deep learning framework for securing network files

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.

CPC Classifications