This invention describes a cybersecurity system that combines a regular computer with a specialized quantum computer. The quantum computer learns from past cyberattacks and normal network traffic to build a model for identifying threats. When new network traffic arrives, the regular computer sends its details to the quantum computer, which quickly determines if it's a potential attack, allowing the system to respond in real-time. The claims specifically detail the quantum optimizer's role in transmitting indicative attributes and determining models for attack identification.
Why it matters: In 2017, practical quantum optimizers for real-time security were largely theoretical. Today, advancements in quantum hardware and algorithms, particularly in quantum annealing and cloud access, make experimenting with such systems more feasible.
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