# Quantum Shannon Information Theory—Design of Communication, Ciphers, and Sensors

## TL;DR

This paper explores quantum Shannon information theory and its potential to improve communication systems, ciphers, and sensors beyond classical limits.

## Contribution

The paper introduces a theoretical framework for overcoming limitations in quantum Shannon information theory and presents a perfect secure cipher and sensors as examples.

## Key findings

- Quantum Shannon information theory can surpass classical communication performance if properly applied.
- There are significant limitations in utilizing quantum effects for real-world communication systems.
- A perfect secure cipher is proposed that does not degrade communication performance.

## Abstract

One of the key aspects of Shannon theory is that it provides guidance for designing the most efficient systems, such as minimizing errors and clarifying the limits of coding. This theory has seen great developments in the 50 years since 1948. It has played a vital role in enabling the development of modern ultra-fast, stable, and highly dependable information and communication systems. Shannon theory is supported by statistical communication theories such as detection and estimation theory. The theory of communication systems that transmit Shannon information using quantum media is called quantum Shannon information theory, and research began in the 1960s. The theoretical formulation comparable to conventional Shannon theory has been completed. Its important role is to suggest that application of quantum effects will surpass existing communication performance. It would be meaningless if performance, efficiency, and utility were to deteriorate due to quantum effects, even if a certain new function is given. This paper suggests that there are various limitations to utilizing quantum Shannon information theory to benefit real-world communication systems and presents a theoretical framework for achieving the ultimate goal. Finally, we present the perfect secure cipher that overcomes the Shannon impossibility theorem without degrading communication performance and sensors as an example.