Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Science News

Automated Cryptography

Michael A. Guillen

Published Sep 18, 1976• 0 citations
Publisher
DOI
10.2307/3961398

Related papers

Quantum Entanglement and Cryptography for Automation and Control of Dynamic Systems

Farbod Khoshnoud, I.I. Esat, Shayan Javaherian +1 more

This paper addresses the application of quantum entanglement and cryptography for automation and control of dynamic systems. A dynamic system is a system where the rates of changes of its state variables are not negligible. Quantum entanglement is realized by the Spontaneous Parametric Down-conversion process. Two entangled autonomous systems exhibit correlated behavior without any classical communication in between them due to the quantum entanglement phenomenon. Specifically, the behavior of a system, Bob, at a distance, is correlated with a corresponding system, Alice. In an automation scenario, the 'Bob Robot' is entangled with the 'Alice Robot' in performing autonomous tasks without any classical connection between them. Quantum cryptography is a capability that allows guaranteed security. Such capabilities can be implemented in control of autonomous mechanical systems where, for instance, an 'Alice Autonomous System' can control a 'Bob Autonomous System' for applications of automation and robotics. The applications of quantum technologies to mechanical systems, at a scale larger than the atomistic scale, for control and automation, is a novel contribution of this paper. Notably, the feedback control transfer function of an integrated classical dynamic system and a quantum state is proposed.

arXiv:2007.08567•Jul 16, 2020•7 citations

Cryptographic Protocols

Hans Delfs, Helmut Knebl

Information security and cryptography•Jan 1, 2015•3 citations

Cryptographic Protocols

Hans Delfs, Helmut Knebl

Information security and cryptography•Jan 1, 2002•0 citations

Quantum Entanglement and Cryptography for Automation and Control of Dynamic Systems

Farbod Khoshnoud, I.I. Esat, Shayan Javaherian +1 more

This paper addresses the application of quantum entanglement and cryptography for automation and control of dynamic systems. A dynamic system is a system where the rates of changes of its state variables are not negligible. Quantum entanglement is realized by the Spontaneous Parametric Down-conversion process. Two entangled autonomous systems exhibit correlated behavior without any classical communication in between them due to the quantum entanglement phenomenon. Specifically, the behavior of a system, Bob, at a distance, is correlated with a corresponding system, Alice. In an automation scenario, the “Bob Robot” is entangled with the “Alice Robot” in performing autonomous tasks without any classical connection between them. Quantum cryptography is a capability that allows guaranteed security. Such capabilities can be implemented in control of autonomous mechanical systems where, for instance, an “Alice Autonomous System” can control a “Bob Autonomous System” for applications of automation and robotics. The applications of quantum technologies to mechanical systems, at a scale larger than the atomistic scale, for control and automation, is a novel contribution of this paper. Notably, the feedback control transfer function of an integrated classical dynamic system and a quantum state is proposed.

Instrumentation•Feb 5, 2024•0 citations

Parallelizing Polarization Plate Design for Automating Quantum Key Distribution Device based on EDU-QCRYI

Rizka Khairunnisa, Dion Ogi, Anang Adi Permana +7 more

Quantum cryptography learning is now more important as the threats toward secure communication system using quantum computing are increasing. EDU-QCRY is one of the quantum cryptography demonstration devices which implements BB84 protocol. EDU-QCRY is still run manually that make it has limited data processing capacity, large operating time, and low-level accuracy. In this study, automation is done by parallelizing the process of selecting bases and states on the polarization rotator and integrating an Arduino-based controller module using demultiplexing techniques. EDU-QCRYI automation changes the process to be more efficient and effective because the system works automatically by a controller module based on qubit data that is inputted by the sender and the receiver gets qubit data automatically. EDU-QCRYI automation is expected to make demonstration of secure communication using Quantum cryptography more reliable for implementation.

•Jun 1, 2020•0 citations

Cryptographic Protocols

Springer eBooks•Aug 3, 2007•2 citations
This paper addresses the application of quantum entanglement and cryptography for automation and control of dynamic systems. A dynamic system is a system where the rates of changes of its state variables are not negligible. Quantum entanglement is realized by the Spontaneous Parametric Down-conversion process. Two entangled autonomous systems exhibit correlated behavior without any classical communication in between them due to the quantum entanglement phenomenon. Specifically, the behavior of a system, Bob, at a distance, is correlated with a corresponding system, Alice. In an automation scenario, the 'Bob Robot' is entangled with the 'Alice Robot' in performing autonomous tasks without any classical connection between them. Quantum cryptography is a capability that allows guaranteed security. Such capabilities can be implemented in control of autonomous mechanical systems where, for instance, an 'Alice Autonomous System' can control a 'Bob Autonomous System' for applications of automation and robotics. The applications of quantum technologies to mechanical systems, at a scale larger than the atomistic scale, for control and automation, is a novel contribution of this paper. Notably, the feedback control transfer function of an integrated classical dynamic system and a quantum state is proposed.
This paper addresses the application of quantum entanglement and cryptography for automation and control of dynamic systems. A dynamic system is a system where the rates of changes of its state variables are not negligible. Quantum entanglement is realized by the Spontaneous Parametric Down-conversion process. Two entangled autonomous systems exhibit correlated behavior without any classical communication in between them due to the quantum entanglement phenomenon. Specifically, the behavior of a system, Bob, at a distance, is correlated with a corresponding system, Alice. In an automation scenario, the “Bob Robot” is entangled with the “Alice Robot” in performing autonomous tasks without any classical connection between them. Quantum cryptography is a capability that allows guaranteed security. Such capabilities can be implemented in control of autonomous mechanical systems where, for instance, an “Alice Autonomous System” can control a “Bob Autonomous System” for applications of automation and robotics. The applications of quantum technologies to mechanical systems, at a scale larger than the atomistic scale, for control and automation, is a novel contribution of this paper. Notably, the feedback control transfer function of an integrated classical dynamic system and a quantum state is proposed.
Quantum cryptography learning is now more important as the threats toward secure communication system using quantum computing are increasing. EDU-QCRY is one of the quantum cryptography demonstration devices which implements BB84 protocol. EDU-QCRY is still run manually that make it has limited data processing capacity, large operating time, and low-level accuracy. In this study, automation is done by parallelizing the process of selecting bases and states on the polarization rotator and integrating an Arduino-based controller module using demultiplexing techniques. EDU-QCRYI automation changes the process to be more efficient and effective because the system works automatically by a controller module based on qubit data that is inputted by the sender and the receiver gets qubit data automatically. EDU-QCRYI automation is expected to make demonstration of secure communication using Quantum cryptography more reliable for implementation.