Next Article in Journal
Robust Deep Active Learning via Distance-Measured Data Mixing and Adversarial Training
Previous Article in Journal
Adaptive Belief Rule Base Modeling of Complex Industrial Systems Based on Sigmoid Functions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

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

1
Quantum ICT Research Institute, Tamagawa University, 6-1-1, Tamagawa-Gakuen, Machida, Tokyo 194-8610, Japan
2
Research and Development Initiative, Chuo University, 1-13-27, Kasuga, Bunkyou-ku, Tokyo 112-8551, Japan
Entropy 2025, 27(11), 1158; https://doi.org/10.3390/e27111158
Submission received: 29 September 2025 / Revised: 4 November 2025 / Accepted: 11 November 2025 / Published: 14 November 2025
(This article belongs to the Section Quantum Information)

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.
Keywords: quantum technology; secure global optical network; reaction control system quantum technology; secure global optical network; reaction control system

Share and Cite

MDPI and ACS Style

Hirota, O. Quantum Shannon Information Theory—Design of Communication, Ciphers, and Sensors. Entropy 2025, 27, 1158. https://doi.org/10.3390/e27111158

AMA Style

Hirota O. Quantum Shannon Information Theory—Design of Communication, Ciphers, and Sensors. Entropy. 2025; 27(11):1158. https://doi.org/10.3390/e27111158

Chicago/Turabian Style

Hirota, Osamu. 2025. "Quantum Shannon Information Theory—Design of Communication, Ciphers, and Sensors" Entropy 27, no. 11: 1158. https://doi.org/10.3390/e27111158

APA Style

Hirota, O. (2025). Quantum Shannon Information Theory—Design of Communication, Ciphers, and Sensors. Entropy, 27(11), 1158. https://doi.org/10.3390/e27111158

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop