IEEE International Conference on Acoustics, Speech and Signal Processing; Barcelona, Spain; May 4-8, 2026
This short course, delivered by Lajos Hanzo, offers a comprehensive examination of quantum information processing, sensing, and communications, bridging the gap between theoretical principles and practical signal processing implementations. Motivated by the physical limitations of classical scaling and Moore's Law, the tutorial outlines the foundational mechanics of quantum systems—including superposition, entanglement, measurement, and decoherence—and evaluates their realistic potential for next-generation wireless networks.
The core of the presentation explores the integration of quantum algorithms into key signal processing domain challenges, such as multi-user detection, channel estimation, array localization, and network routing. It emphasizes quantum error correction (QEC) and mitigation strategies by drawing direct parallels to classical coding theory, illustrating how stabilizer codes and parity-check formalisms adapt to quantum channels. Furthermore, the discussion surveys technical milestones in quantum key distribution (QKD), satellite-assisted quantum communications, and distributed quantum network architectures.
Ultimately, the course demystifies widespread misconceptions surrounding quantum capabilities while establishing a clear engineering roadmap for future communications. By identifying critical knowledge gaps and open research directions, the talk underscores how leveraging classical information-theoretic principles will accelerate the realization of scalable, fault-tolerant, and inherently secure quantum networks.
