Russian Scientists Develop a ‘Smart’ Assistant for Quantum Communication
Russian researchers have introduced an intelligent neural assistant that strengthens quantum communication systems by correcting transmission errors in real time
A Smarter Approach to Quantum Security
A team from the Polytechnic College of Novgorod State University has developed an AI‑powered system that detects and corrects errors in quantum communication channels on the fly. The model continuously adjusts system parameters every few microseconds, allowing the generation of longer and more reliable encryption keys.
Quantum cryptography is considered the most secure method of data transmission: any eavesdropping attempt alters the quantum state of particles and is instantly detected. However, internal noise — from equipment or fiber‑optic lines — still introduces errors. The Russian neural model addresses this by adapting in real time, compensating for distortions that previously limited system performance.
How It Works: Two Channels, One Challenge
Quantum networks rely on two channels: an open one and a quantum one. The quantum channel carries secret information, but it cannot compare or coordinate parameters — these tasks require the open channel. As a result, the quantum error rate fluctuates constantly.
To fix errors without exposing service data in the open channel, system parameters must be adjusted for every frame — similar to correcting each individual frame in a video stream. The neural model automatically predicts parameters for upcoming frames, extending the length of encryption keys. Longer keys make it easier to detect anomalies and any form of unauthorized interference.
Strengthening Cybersecurity for Critical Sectors
This technology is vital for digitally transforming sectors where security is non‑negotiable — banking, major corporations, and scientific institutions. It strengthens global cybersecurity by offering a tool capable of protecting data against some of the world’s most advanced threats.
Researchers plan to expand the model’s capabilities by including more variables related to channel behavior and equipment performance, further improving the speed, accuracy, and resilience of quantum‑communication systems.
Expert Context
According to the research team, the neural model acts as a real‑time guardian for each transmission frame, enabling longer keys and more stable communication. This marks an important step toward practical, scalable quantum‑protected infrastructure.
